Triple
T16468990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dane Cook |
E400009
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Planes |
E818204
|
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: Planes | Statement: [Dane Cook, notableWork, Planes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Planes Context triple: [Dane Cook, notableWork, Planes]
-
A.
Planes (film)
chosen
Planes is a 2013 animated spin-off of Pixar’s Cars franchise that follows a crop-dusting plane aspiring to compete in a high-stakes aerial race.
-
B.
Planes: Fire & Rescue
Planes: Fire & Rescue is a 2014 animated adventure-comedy film from DisneyToon Studios that follows a former racing plane who joins an elite aerial firefighting team.
-
C.
Q Planes
Q Planes is a 1939 British spy thriller film blending aviation adventure with light comedy, starring Laurence Olivier and Valerie Hobson.
-
D.
Aviadores
Aviadores is the popular nickname of Bolivian football club Jorge Wilstermann, alluding to its historic ties to aviation.
-
E.
Aviators
Aviators is a Minor League Baseball team based in the Las Vegas area, serving as the Triple-A affiliate of the Oakland Athletics.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dce342081909cad56dc92de13a2 |
completed | April 18, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5914dc81908c3b8cf999ee76a1 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:11 a.m.