Triple
T17445064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Travis |
E424759
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Travis |
—
|
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: Travis | Statement: [Taylor Travis, familyName, Travis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travis Context triple: [Taylor Travis, familyName, Travis]
-
A.
Travis
Travis is a neighborhood on the western shore of Staten Island in New York City, known for its residential character and proximity to the Staten Island Expressway and Arthur Kill.
-
B.
Travis
Travis is a Scottish rock band known for their melodic, introspective songs that helped shape the late-1990s and early-2000s Britpop and post-Britpop sound.
-
C.
Travis
Travis is the surname of William B. Travis, the 19th-century American lawyer and soldier best known as a commander at the Battle of the Alamo.
-
D.
Travis
Travis is a central character in the psychological horror film "It Comes at Night," a teenage boy whose fear, curiosity, and vulnerability drive much of the movie’s tension and emotional impact.
-
E.
Travis
chosen
Travis is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffa2d84819086474649eba1065c |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.