Triple
T6420860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Finger |
E127938
|
entity |
| Predicate | coCreatorOf |
P806
|
FINISHED |
| Object | Batmobile |
E367189
|
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: Batmobile | Statement: [Bill Finger, coCreatorOf, Batmobile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batmobile Context triple: [Bill Finger, coCreatorOf, Batmobile]
-
A.
Batmobile
chosen
The Batmobile is Batman’s iconic, heavily armored high-tech car designed for crime-fighting, rapid pursuit, and urban combat in Gotham City.
-
B.
Thunderbolt Vehicle
Thunderbolt Vehicle is an alternative name for Vajrayana, the esoteric Buddhist path that emphasizes rapid enlightenment through tantric practices and symbolic rituals.
-
C.
Man Vehicle Laboratory
Man Vehicle Laboratory is an MIT research lab focused on human factors, human–machine interaction, and human performance in aerospace and other complex vehicle systems.
-
D.
Bernmobil
Bernmobil is the public transport company responsible for operating trams, buses, and other urban transit services in the Swiss city of Bern.
-
E.
Doom Buggy
Doom Buggy is the iconic black, omnimover ride vehicle that transports guests through Disney’s Haunted Mansion attraction.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06902ddb48190bd5a8b5ecdf6c39e |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640d8f7548190a8e0433df56b77f3 |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:43 p.m.