Triple
T15965009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald E. Thorin |
E387163
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Specialist |
E239187
|
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: The Specialist | Statement: [Donald E. Thorin, notableWork, The Specialist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Specialist Context triple: [Donald E. Thorin, notableWork, The Specialist]
-
A.
The Specialist
chosen
The Specialist is a 1994 action thriller film starring Sylvester Stallone and Sharon Stone, centered on a bomb expert drawn into a deadly revenge plot.
-
B.
The Surge
The Surge is the nickname of the Wichita Wind Surge, a Minor League Baseball team based in Wichita, Kansas.
-
C.
Spec Ops
Spec Ops is a cooperative game mode in Call of Duty: Modern Warfare 2 featuring standalone missions focused on tactical objectives and teamwork.
-
D.
Sniper
Sniper is a 1993 action thriller film about an expert Marine sniper and his spotter undertaking a dangerous mission in the Panamanian jungle.
-
E.
Sniper
"Sniper" is a track likely characterized by intense, precise, and hard-hitting themes, fitting the style and persona associated with the artist King of the North.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157258b3c8190a72c868bd055ed94 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe84f4888190b3fdb5f32763f78d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:54 a.m.