Triple
T22275674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Marshall |
E550596
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Bill Marshall |
—
|
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: Bill Marshall | Statement: [William Marshall, hasName, Bill Marshall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Marshall Context triple: [William Marshall, hasName, Bill Marshall]
-
A.
Bill Marshall
chosen
Bill Marshall was a Canadian film producer and cultural entrepreneur best known for co-founding and helping establish the Toronto International Film Festival as a major global cinema event.
-
B.
Michael Waddell
Michael Waddell is a sports executive best known for serving as president of the Orlando Apollos in the Alliance of American Football.
-
C.
Scott Marshall
Scott Marshall is an American film and television director known for his work on comedies and for being the son of filmmaker Garry Marshall.
-
D.
Marshall Todd
Marshall Todd is a screenwriter best known for co-writing the hit comedy film "Barbershop."
-
E.
Christopher Willis
Christopher Willis is a British composer best known for his work on film and television scores, including the soundtrack for "The Personal History of David Copperfield."
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea7ebbc8190948e8994e988adb3 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.