Triple
T7554456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mermaids |
E178623
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Howard Atherton |
E324776
|
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: Howard Atherton | Statement: [Mermaids, cinematographyBy, Howard Atherton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Atherton Context triple: [Mermaids, cinematographyBy, Howard Atherton]
-
A.
Howard Atherton
chosen
Howard Atherton is a British cinematographer known for his work on major films such as "Fatal Attraction," "Bad Timing," and "The Witches."
-
B.
David Wickes
David Wickes is a British film and television director known for his work on crime dramas and period pieces, including notable adaptations of classic detective stories.
-
C.
Jack Gordon
Jack Gordon is an actor known for his role in the film "Hellgate."
-
D.
Jack Gordon
Jack Gordon was an American businessman and talent manager best known for his controversial marriage to singer La Toya Jackson and his role in managing her career.
-
E.
Tony Hulman
Tony Hulman was an American businessman and philanthropist best known for owning and revitalizing the Indianapolis Motor Speedway and the Indianapolis 500.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b990148190b26a3a262cf538b3 |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856be6e1c8190ba292d4d9cf1f37f |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:49 p.m.