Triple
T14805352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crash (2004 film) |
E348019
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Shaun Toub |
E375626
|
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: Shaun Toub | Statement: [Crash (2004 film), starring, Shaun Toub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaun Toub Context triple: [Crash (2004 film), starring, Shaun Toub]
-
A.
Shaun Toub
chosen
Shaun Toub is an Iranian-American actor known for his nuanced supporting roles in films such as "The Kite Runner," "Crash," and "Iron Man."
-
B.
Shawn Schepps
Shawn Schepps is an American screenwriter and actress known for her work on films such as "Drumline" and "Encino Man."
-
C.
Michael Shrieve
Michael Shrieve is an American drummer and percussionist best known for his work with Santana, including his iconic performance at Woodstock and contributions to their classic early albums.
-
D.
Brian Kushner
Brian Kushner is a business executive and restructuring specialist known for leading corporate turnarounds and serving in senior roles at major consulting and investment firms.
-
E.
Ron Shaich
Ron Shaich is an American entrepreneur best known as the founder and longtime leader of the fast-casual restaurant chain Panera Bread.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c6b3008190a0fac1dace40361a |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:34 a.m.