Triple
T16619779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clifton McNeely |
E403792
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Pampa High School |
E300593
|
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: Pampa High School | Statement: [Clifton McNeely, employer, Pampa High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pampa High School Context triple: [Clifton McNeely, employer, Pampa High School]
-
A.
Pampa High School
chosen
Pampa High School is a public high school in Pampa, Texas, best known as the alma mater of former NFL linebacker Zach Thomas.
-
B.
Cousino High School
Cousino High School is a public secondary school located in Warren, Michigan, serving students in the Warren Consolidated Schools district.
-
C.
Nipomo High School
Nipomo High School is a public secondary school serving students in the community of Nipomo, California.
-
D.
Papine High School
Papine High School is a secondary educational institution located in the Papine area of Kingston, Jamaica.
-
E.
Anna High School
Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754c934c8190a0a8ddd747681aa7 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db0b4348190beb573bc3df98125 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.