Triple
T11050214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toy Soldiers |
E261224
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Wil Wheaton |
E302630
|
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: Wil Wheaton | Statement: [Toy Soldiers, starring, Wil Wheaton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wil Wheaton Context triple: [Toy Soldiers, starring, Wil Wheaton]
-
A.
Wil Wheaton
chosen
Wil Wheaton is an American actor, writer, and voice actor best known for playing Wesley Crusher on "Star Trek: The Next Generation" and Gordie Lachance in the film "Stand by Me."
-
B.
John Corbett
John Corbett is an American actor and country music singer best known for his roles in "Sex and the City," "My Big Fat Greek Wedding," and various television and film projects.
-
C.
Jeff Pilson
Jeff Pilson is an American bassist and producer best known for his work with the rock bands Dokken and Foreigner.
-
D.
Kevin Nealon
Kevin Nealon is an American comedian and actor best known for his long-running tenure on "Saturday Night Live" and his roles in numerous comedy films and television series.
-
E.
Danny Jacobson
Danny Jacobson is an American television writer and producer best known for co-creating the hit sitcom "Mad About You."
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa146b148190a87205e542cc718f |
completed | April 18, 2026, 3:58 p.m. |
Created at: April 8, 2026, 9:26 p.m.