Triple
T21770375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Sapp |
E537408
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sapp |
—
|
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: Sapp | Statement: [Warren Sapp, familyName, Sapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sapp Context triple: [Warren Sapp, familyName, Sapp]
-
A.
Sapp
chosen
Sapp is the surname of Warren Sapp, a former American football defensive tackle and Pro Football Hall of Famer.
-
B.
Sapon
Sapon is a major commercial and transportation hub in Abeokuta, Ogun State, Nigeria.
-
C.
Sapinuwa
Sapinuwa was an important Hittite administrative and religious center in Anatolia, known from extensive cuneiform archives discovered there.
-
D.
Sapê
Sapê is a municipality in the state of Paraíba, Brazil, known for its agricultural activities and role in the region’s economic and cultural life.
-
E.
Sapria
Sapria is a rare genus of parasitic flowering plants known for producing large, foul-smelling blossoms similar to those of its relative Rafflesia.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031ad76848190b2c7a05d091b7faf |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.