Triple
T5201101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Chill |
E117393
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Tom Berenger |
E152440
|
NE FINISHED |
How this triple was built (2 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: Tom Berenger | Statement: [The Big Chill, stars, Tom Berenger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Berenger Context triple: [The Big Chill, stars, Tom Berenger]
-
A.
Tom Berenger
chosen
Tom Berenger is an American actor best known for his roles in films such as "Platoon," "The Big Chill," and "Inception," often portraying tough, complex characters.
-
B.
Fred Ward
Fred Ward was an American character actor known for his rugged, everyman roles in films such as "Tremors," "The Right Stuff," and "Short Cuts."
-
C.
Robert Urich
Robert Urich was an American actor best known for his roles in television series such as "Vega$," "Spenser: For Hire," and "Lonesome Dove."
-
D.
Matthew Modine
Matthew Modine is an American actor best known for his roles in films like "Full Metal Jacket" and the series "Stranger Things."
-
E.
James Remar
James Remar is an American character actor known for his intense and often villainous roles in film and television, including notable performances in projects like "Dexter," "The Warriors," and "48 Hrs."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a228e2c81908bfbd48ed9f2cd5e |
completed | March 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10c17a648190b8ca7b85cfbfb9e4 |
completed | March 21, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:47 p.m.