Triple
T21334466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Hathaway |
E526003
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | James Hathaway |
—
|
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 Hathaway | Statement: [James Hathaway, fullName, James Hathaway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Hathaway Context triple: [James Hathaway, fullName, James Hathaway]
-
A.
James Hathaway
chosen
James Hathaway is the intelligent, introspective detective sergeant who partners with Inspector Robbie Lewis in the British crime drama series "Lewis."
-
B.
Joseph McCasland
Joseph McCasland is a film editor known for his work on the comedy movie "Drunk Parents."
-
C.
John Havens
John Havens is an American businessman and former Citigroup executive who co-founded the investment firm Old Lane Partners.
-
D.
John Daggett
John Daggett is a wealthy and unscrupulous Gotham City businessman from the Batman universe, notably appearing as a corporate antagonist in "The Dark Knight Rises."
-
E.
Jim Mulholland
Jim Mulholland is an American screenwriter known for his work on action-comedy films, including contributing to the script of "Bad Boys."
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898d602c08190821c63e0aff42fc2 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 4:43 p.m.