Triple
T10210707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Firm |
E242318
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Oliver Lambert
Oliver Lambert is the protagonist of the legal thriller "The Firm," around whom the story’s central conflicts and developments revolve.
|
E850118
|
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: Oliver Lambert | Statement: [The Firm, mainCharacter, Oliver Lambert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Lambert Context triple: [The Firm, mainCharacter, Oliver Lambert]
-
A.
Oliver Wallace
Oliver Wallace was a British-born American composer and conductor best known for scoring numerous classic Disney animated films in the mid-20th century.
-
B.
Oliver Stark
Oliver Stark is a British actor best known for playing firefighter Evan "Buck" Buckley on the television drama series 9-1-1.
-
C.
Oliver Chris
Oliver Chris is a British actor known for his work in television comedies, stage productions, and film.
-
D.
Oliver Grayson
Oliver Grayson is a character from the comic and animated series "Invincible," known as the half-human, half-Viltrumite son of Nolan Grayson (Omni-Man) and a powerful hero in his own right.
-
E.
Oliver Stapleton
Oliver Stapleton is a British cinematographer known for his versatile work across acclaimed films in both independent and mainstream cinema.
- 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: Oliver Lambert Triple: [The Firm, mainCharacter, Oliver Lambert]
Generated description
Oliver Lambert is the protagonist of the legal thriller "The Firm," around whom the story’s central conflicts and developments revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oliver Lambert Target entity description: Oliver Lambert is the protagonist of the legal thriller "The Firm," around whom the story’s central conflicts and developments revolve.
-
A.
Oliver Wallace
Oliver Wallace was a British-born American composer and conductor best known for scoring numerous classic Disney animated films in the mid-20th century.
-
B.
Oliver Stark
Oliver Stark is a British actor best known for playing firefighter Evan "Buck" Buckley on the television drama series 9-1-1.
-
C.
Oliver Chris
Oliver Chris is a British actor known for his work in television comedies, stage productions, and film.
-
D.
Oliver Grayson
Oliver Grayson is a character from the comic and animated series "Invincible," known as the half-human, half-Viltrumite son of Nolan Grayson (Omni-Man) and a powerful hero in his own right.
-
E.
Oliver Stapleton
Oliver Stapleton is a British cinematographer known for his versatile work across acclaimed films in both independent and mainstream cinema.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395fbed008190b66996f5bb397853 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652d8088c819084040883f2ab9dc6 |
completed | April 8, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69d656a847fc8190af1f3e131e4200b3 |
completed | April 8, 2026, 1:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6570d98f881909b9591f9d953eb35 |
completed | April 8, 2026, 1:24 p.m. |
Created at: April 6, 2026, 11:01 a.m.