Triple
T7909807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boiler Room |
E183667
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Taylor Nichols
Taylor Nichols is an American actor known for his roles in independent films and ensemble dramas, including the finance thriller "Boiler Room."
|
E700736
|
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: Taylor Nichols | Statement: [Boiler Room, castMember, Taylor Nichols]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taylor Nichols Context triple: [Boiler Room, castMember, Taylor Nichols]
-
A.
Margaret McTague
Margaret McTague was the wife of New York politician and long-serving U.S. Senator Robert F. Wagner.
-
B.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
C.
Caroline Rue
Caroline Rue is an American musician best known as the original drummer of the alternative rock band Hole.
-
D.
Stephanie Bishop
Stephanie Bishop is an actress known for her role in the British drama film "Looking for Eric," directed by Ken Loach.
-
E.
Laura Hawkins
Laura Hawkins was a childhood friend and early love interest of Mark Twain whose personality and experiences inspired the character Becky Thatcher in "The Adventures of Tom Sawyer."
- 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: Taylor Nichols Triple: [Boiler Room, castMember, Taylor Nichols]
Generated description
Taylor Nichols is an American actor known for his roles in independent films and ensemble dramas, including the finance thriller "Boiler Room."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taylor Nichols Target entity description: Taylor Nichols is an American actor known for his roles in independent films and ensemble dramas, including the finance thriller "Boiler Room."
-
A.
Margaret McTague
Margaret McTague was the wife of New York politician and long-serving U.S. Senator Robert F. Wagner.
-
B.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
C.
Caroline Rue
Caroline Rue is an American musician best known as the original drummer of the alternative rock band Hole.
-
D.
Stephanie Bishop
Stephanie Bishop is an actress known for her role in the British drama film "Looking for Eric," directed by Ken Loach.
-
E.
Laura Hawkins
Laura Hawkins was a childhood friend and early love interest of Mark Twain whose personality and experiences inspired the character Becky Thatcher in "The Adventures of Tom Sawyer."
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5db9508190bbe92673ef5a7861 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bd54f548190916bf00852f37224 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb78f72878819086092c9fe267e37f |
completed | March 31, 2026, 7:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf2a357081908ac2230f0dfd9cdc |
completed | March 31, 2026, 12:33 p.m. |
Created at: March 30, 2026, 5:04 p.m.