Triple
T21836419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bathing Beauty |
E539130
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Steve Elliott
Steve Elliott is a fictional character appearing in the 1944 musical comedy film "Bathing Beauty."
|
E1505579
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Steve Elliott | Statement: [Bathing Beauty, featuresCharacter, Steve Elliott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Elliott Context triple: [Bathing Beauty, featuresCharacter, Steve Elliott]
-
A.
Steven Elliott
Steven Elliott is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
B.
Tom Elliott
Tom Elliott is a Northern Irish Ulster Unionist Party politician who has served as the Member of Parliament for the Fermanagh and South Tyrone constituency.
-
C.
Mike Elliott
Mike Elliott is a British Formula One engineer and aerodynamicist known for his senior technical roles at Mercedes-AMG Petronas, where he has contributed to multiple championship-winning cars.
-
D.
Mike Elliott
Mike Elliott is a film director and producer known for his work on numerous direct-to-video sequels, including entries in franchises like The Scorpion King.
-
E.
Steve Everett
Steve Everett is a fictional, hard-drinking, troubled investigative reporter who becomes obsessed with uncovering the truth behind a death-row case in the film "True Crime."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Steve Elliott Triple: [Bathing Beauty, featuresCharacter, Steve Elliott]
Generated description
Steve Elliott is a fictional character appearing in the 1944 musical comedy film "Bathing Beauty."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Elliott Target entity description: Steve Elliott is a fictional character appearing in the 1944 musical comedy film "Bathing Beauty."
-
A.
Steven Elliott
Steven Elliott is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
B.
Tom Elliott
Tom Elliott is a Northern Irish Ulster Unionist Party politician who has served as the Member of Parliament for the Fermanagh and South Tyrone constituency.
-
C.
Mike Elliott
Mike Elliott is a British Formula One engineer and aerodynamicist known for his senior technical roles at Mercedes-AMG Petronas, where he has contributed to multiple championship-winning cars.
-
D.
Mike Elliott
Mike Elliott is a film director and producer known for his work on numerous direct-to-video sequels, including entries in franchises like The Scorpion King.
-
E.
Steve Everett
Steve Everett is a fictional, hard-drinking, troubled investigative reporter who becomes obsessed with uncovering the truth behind a death-row case in the film "True Crime."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a7c368819094e0c4548be30798 |
completed | April 28, 2026, 12:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bc45c748190a723cf7c2d6da7d6 |
completed | May 17, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_6a0a4c86969c81908631fc11ec51a7fb |
completed | May 17, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4cf396cc819091963ea90e1b7fc5 |
completed | May 17, 2026, 11:19 p.m. |
Created at: April 16, 2026, 6:55 p.m.