Triple
T14959662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyle Waggoner |
E373030
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object | Steve Trevor |
E199709
|
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: Steve Trevor | Statement: [Lyle Waggoner, role, Steve Trevor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Trevor Context triple: [Lyle Waggoner, role, Steve Trevor]
-
A.
Steve Trevor
chosen
Steve Trevor is a World War I American pilot and spy who serves as Wonder Woman’s primary human ally and love interest in the DC Comics universe and its film adaptations.
-
B.
William Batson
William Batson was a businessman after whom the company William Batson & Co. was named.
-
C.
Kyle "Gaz" Garrick
Kyle "Gaz" Garrick is a British special forces operator and key member of Task Force 141 in the Call of Duty: Modern Warfare series, known for his tactical expertise and close partnership with Captain Price.
-
D.
John Henry "Steel" Irons
John Henry "Steel" Irons is a DC Comics superhero and brilliant engineer who forges a high-tech suit of armor to fight crime in honor of Superman.
-
E.
Jay Garrick
Jay Garrick is the original Flash, a Golden Age DC Comics superhero known for his super-speed and founding role in early superhero teams.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cd85bc81909040b7ff78f62554 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7ea1d78c81909b877fda05ef9231 |
completed | May 9, 2026, 12:24 a.m. |
Created at: April 10, 2026, 2:40 a.m.