Triple
T21811178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Travers |
E538475
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Travers |
—
|
NE NERFINISHED |
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: Travers | Statement: [Thomas Travers, hasFamilyName, Travers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travers Context triple: [Thomas Travers, hasFamilyName, Travers]
-
A.
Travers
Travers is the given name of the British actor Henry Travers, best known for his role as Clarence the angel in the classic film "It's a Wonderful Life."
-
B.
Travers
chosen
Travers is a fictional English surname most notably borne by Aunt Dahlia in P. G. Wodehouse’s Jeeves and Wooster stories.
-
C.
Travers
Travers is a former municipality in the canton of Neuchâtel, Switzerland, now incorporated into the larger municipality of Val-de-Travers.
-
D.
Traverse
Traverse is a famously challenging, high-speed section of the Hahnenkamm downhill course in Kitzbühel, Austria, known for its demanding terrain and technical difficulty.
-
E.
Travessia
Travessia is a celebrated Brazilian song by Milton Nascimento that helped establish him as a major figure in Música Popular Brasileira.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc6cdf88190a31129acdc3bcec8 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:53 p.m.