Triple
T23298362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Phone Call |
E590233
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | James Lucas |
—
|
NE NERFINISHED |
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: James Lucas | Statement: [The Phone Call, producer, James Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Lucas Context triple: [The Phone Call, producer, James Lucas]
-
A.
James Lucas
chosen
James Lucas is a screenwriter best known for his work on the short film "The Phone Call," which won the Academy Award for Best Live Action Short Film.
-
B.
John Brent
"John Brent" is an 1862 adventure novel by American writer Theodore Winthrop, noted for its vivid depictions of the American West and themes of frontier life.
-
C.
Martin Henderson
Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
-
D.
Christopher Henderson
Christopher Henderson is a fictional high-ranking counterterrorism operative and former mentor to Jack Bauer in the television series "24."
-
E.
Scott Lithgow
Scott Lithgow was a prominent British shipbuilding company based on the River Clyde in Scotland, known for constructing a wide range of commercial and naval vessels.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d083188190abaae77dd4cf2bae |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.