Triple
T19398875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S. E. Hinton |
E485263
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tex |
—
|
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: Tex | Statement: [S. E. Hinton, notableWork, Tex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tex Context triple: [S. E. Hinton, notableWork, Tex]
-
A.
Tex
Tex is the nickname of Tex Avery, the influential American animator and director known for his wild, fast-paced cartoons at Warner Bros. and MGM.
-
B.
Tex
chosen
Tex is a 1982 coming-of-age drama film based on S. E. Hinton’s novel, following a teenage boy navigating family struggles and personal growth in rural Oklahoma.
-
C.
TEX
TEX is the three-letter IATA airport code for Telluride Regional Airport in Colorado, United States.
-
D.
TEX
TEX is the standard abbreviation used for the Texas Legends, an NBA G League basketball team based in Frisco, Texas.
-
E.
Tek
Tek is a supporting character in the animated science fiction film "Titan A.E.," serving as a wise, elderly alien mentor figure to the protagonist.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62575d78881909c2cfee799859261 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.