Triple
T9471866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Park |
E228410
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Jack Snyder |
E418574
|
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: Jack Snyder | Statement: [Michael Park, portrayed, Jack Snyder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Snyder Context triple: [Michael Park, portrayed, Jack Snyder]
-
A.
Jack Snyder
chosen
Jack Snyder is a central fictional police detective character from the long-running American soap opera "As the World Turns."
-
B.
James Snyder
James Snyder is an American stage and screen actor best known for his work in musical theatre, including leading roles on Broadway.
-
C.
Edmund Stoiber
Edmund Stoiber is a German conservative politician who served for many years as Minister-President of Bavaria and became a prominent national figure as the CDU/CSU candidate for chancellor in 2002.
-
D.
Greg Schneider
Greg Schneider is a musician best known as a member of the punk rock band The Influents.
-
E.
Hartland Snyder
Hartland Snyder was an American theoretical physicist known for his early work on black hole physics and for being one of J. Robert Oppenheimer’s notable doctoral students.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fef6f288190b2d158c829b31de9 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122cd0728819088f6c832cd90d832 |
completed | April 4, 2026, 2:40 p.m. |
Created at: March 30, 2026, 7:54 p.m.