Triple
T23140273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beastly |
E577440
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Rob Kingson
Rob Kingson is the protagonist of the story "Beastly," a modern retelling of "Beauty and the Beast" set in contemporary times.
|
E1574029
|
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: Rob Kingson | Statement: [Beastly, mainCharacter, Rob Kingson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Kingson Context triple: [Beastly, mainCharacter, Rob Kingson]
-
A.
Paul Tambyah
Paul Tambyah is a Singaporean infectious diseases physician and academic known for his public health advocacy and leadership in both medical and political spheres.
-
B.
Laurence Reilly
Laurence Reilly is the adoptive parent of Connor.
-
C.
Ken King
Ken King is an actor known for his role in the film "Jade."
-
D.
Ken King
Ken King is a notable individual who bears the surname King, recognized for his public prominence in his respective field.
-
E.
Kevin Chinoy
Kevin Chinoy is an American film and television producer best known for his work on acclaimed independent projects such as "The Florida Project."
- 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: Rob Kingson Triple: [Beastly, mainCharacter, Rob Kingson]
Generated description
Rob Kingson is the protagonist of the story "Beastly," a modern retelling of "Beauty and the Beast" set in contemporary times.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rob Kingson Target entity description: Rob Kingson is the protagonist of the story "Beastly," a modern retelling of "Beauty and the Beast" set in contemporary times.
-
A.
Paul Tambyah
Paul Tambyah is a Singaporean infectious diseases physician and academic known for his public health advocacy and leadership in both medical and political spheres.
-
B.
Laurence Reilly
Laurence Reilly is the adoptive parent of Connor.
-
C.
Ken King
Ken King is an actor known for his role in the film "Jade."
-
D.
Ken King
Ken King is a notable individual who bears the surname King, recognized for his public prominence in his respective field.
-
E.
Kevin Chinoy
Kevin Chinoy is an American film and television producer best known for his work on acclaimed independent projects such as "The Florida Project."
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ec922b481908084eee6a95aef83 |
completed | April 29, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c308db8288190b036cd297820da7c |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c32dc646081909d3c36d089d61c00 |
completed | May 19, 2026, 9:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c35636e908190ae11d96deb15e1f5 |
completed | May 19, 2026, 10:03 a.m. |
Created at: April 17, 2026, 4 p.m.