Triple
T15576993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Grant |
E374393
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Steven Grant |
E374393
|
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: Steven Grant | Statement: [Steven Grant, fullName, Steven Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Grant Context triple: [Steven Grant, fullName, Steven Grant]
-
A.
Steven Grant
chosen
Steven Grant is one of the main identities of the Marvel Comics character Moon Knight, portrayed in the Marvel Cinematic Universe by Oscar Isaac.
-
B.
Steven Grant
Steven Grant is an American comic book writer best known for creating the graphic novel that inspired the film "2 Guns."
-
C.
Arthur Grant
Arthur Grant was a British cinematographer best known for his work on numerous Hammer Films productions in the mid-20th century.
-
D.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
-
E.
Nick Grindé
Nick Grindé was a screenwriter active during early Hollywood cinema, known for contributing to films such as the 1930 drama "The Divorcee."
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c3efb48190ad94d9d326c6c2c0 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:11 a.m.