Triple
T6954954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deepwater Horizon |
E161217
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Gabriel Fleming |
E630827
|
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: Gabriel Fleming | Statement: [Deepwater Horizon, editedBy, Gabriel Fleming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Fleming Context triple: [Deepwater Horizon, editedBy, Gabriel Fleming]
-
A.
Gabriel Fleming
chosen
Gabriel Fleming is a film editor known for his work on the movie "Lone Survivor."
-
B.
Julian Mercer
Julian Mercer is a charming young doctor portrayed by Keanu Reeves in the romantic comedy film "Something's Gotta Give."
-
C.
Gabriel Varden
Gabriel Varden is a virtuous and stout-hearted locksmith in Charles Dickens’s novel "Barnaby Rudge," noted for his integrity and courage during the Gordon Riots.
-
D.
John Archer
John Archer was an American film and television actor active from the 1930s to the 1970s, known for his roles in a variety of Hollywood productions.
-
E.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dace1a94819095311e4288f01784 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7618afb0c8190b1545328c1cee5de |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:29 p.m.