Triple
T17334885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Marquand |
E420912
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Richard Marquand |
E420912
|
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: Richard Marquand | Statement: [Richard Marquand, fullName, Richard Marquand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Marquand Context triple: [Richard Marquand, fullName, Richard Marquand]
-
A.
Richard Marquand
chosen
Richard Marquand was a Welsh film director best known for helming the 1983 Star Wars film "Return of the Jedi."
-
B.
Alan Ford
Alan Ford is a British character actor best known for his tough-guy and gangster roles in films by director Guy Ritchie.
-
C.
Michael Fleischer
Michael Fleischer is a relatively obscure individual whose primary distinguishing feature is sharing the surname associated with the Fleischer family name.
-
D.
Mark Kasdan
Mark Kasdan is an American screenwriter best known for co-writing the 1985 Western film "Silverado."
-
E.
Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a1125d88190b67243b30d93ce1c |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5205088190aa724873c6296b1e |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.