Triple
T22271258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talk 'N Text Tropang Texters |
E550480
|
entity |
| Predicate | notableCoach |
P550
|
FINISHED |
| Object | Norman Black |
—
|
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: Norman Black | Statement: [Talk 'N Text Tropang Texters, notableCoach, Norman Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Black Context triple: [Talk 'N Text Tropang Texters, notableCoach, Norman Black]
-
A.
Norman Black
chosen
Norman Black is a former American professional basketball player and highly successful coach, best known for his long and decorated career in the Philippine Basketball Association.
-
B.
Norman Reynolds
Norman Reynolds was a British production designer and art director best known for his Oscar-winning work on the original Star Wars and Raiders of the Lost Ark.
-
C.
Norman Frank
Norman Frank is a member of the Frank family, known primarily as a relative of German author and Nazi critic Niklas Frank.
-
D.
Norman Milburn
Norman Milburn is a member of the Milburn family associated with famed English footballer Jackie Milburn.
-
E.
Norman Riley
Norman Riley is a distinguished mathematician and fluid dynamicist recognized for his influential contributions to theoretical and applied fluid mechanics.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141c056cc819088dae6f2b9a1d526 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:40 p.m.