Triple
T2315973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike McDaniel |
E51063
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McDaniel |
E241220
|
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: McDaniel | Statement: [Mike McDaniel, familyName, McDaniel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McDaniel Context triple: [Mike McDaniel, familyName, McDaniel]
-
A.
McDaniel
chosen
McDaniel is the surname of Hattie McDaniel, the pioneering American actress and singer who became the first African American to win an Academy Award.
-
B.
Daniels
Daniels is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
-
C.
McDougald
McDougald is the namesake of McDougald–McLendon Arena, a sports venue associated with North Carolina Central University.
-
D.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
-
E.
McDermott
McDermott is a surname of Irish origin borne by numerous notable individuals across fields such as business, politics, sports, and the arts.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc61e72508190b335cda2c7fef130 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae896236f08190b3874854279bbdf7 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:49 p.m.