Triple
T5043322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hellgate |
E113597
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Jack Daley
Jack Daley is an actor known for appearing in the film "Hellgate."
|
E493396
|
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: Jack Daley | Statement: [Hellgate, hasCastMember, Jack Daley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Daley Context triple: [Hellgate, hasCastMember, Jack Daley]
-
A.
Nick Daley
Nick Daley is a fictional character from the "Night at the Museum" film series, known as the son of protagonist Larry Daley.
-
B.
Jack Driscoll
Jack Driscoll is a central heroic character in the 1933 film "King Kong," serving as the ship's first mate and the primary human protagonist who helps rescue Ann Darrow from the giant ape.
-
C.
Devlin Daley
Devlin Daley is a technology entrepreneur best known as a co-founder of Instructure, the company behind the Canvas learning management system.
-
D.
Max Dennison
Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
-
E.
John Dawson
John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
- 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: Jack Daley Triple: [Hellgate, hasCastMember, Jack Daley]
Generated description
Jack Daley is an actor known for appearing in the film "Hellgate."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jack Daley Target entity description: Jack Daley is an actor known for appearing in the film "Hellgate."
-
A.
Nick Daley
Nick Daley is a fictional character from the "Night at the Museum" film series, known as the son of protagonist Larry Daley.
-
B.
Jack Driscoll
Jack Driscoll is a central heroic character in the 1933 film "King Kong," serving as the ship's first mate and the primary human protagonist who helps rescue Ann Darrow from the giant ape.
-
C.
Devlin Daley
Devlin Daley is a technology entrepreneur best known as a co-founder of Instructure, the company behind the Canvas learning management system.
-
D.
Max Dennison
Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
-
E.
John Dawson
John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fc04f08190aba851fa0192d0fb |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba5ec4308190aff8b1c4e494e0e2 |
completed | March 21, 2026, 3:33 p.m. |
| NEDg | Description generation | batch_69bebb9c83c08190aa026fa4e50f2069 |
completed | March 21, 2026, 3:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bebc0b38e88190830eb74292e00e93 |
completed | March 21, 2026, 3:40 p.m. |
Created at: March 20, 2026, 1:37 p.m.