Triple
T18217962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allison Moorer |
E436214
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Moorer |
—
|
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: Moorer | Statement: [Allison Moorer, familyName, Moorer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moorer Context triple: [Allison Moorer, familyName, Moorer]
-
A.
Moorer
chosen
Moorer is a surname most notably associated with American former professional boxer and three-time world heavyweight champion Michael Moorer.
-
B.
Meyerhof
Meyerhof is a surname of German origin, notably borne by biochemist Otto Fritz Meyerhof, a Nobel laureate recognized for his work on muscle metabolism.
-
C.
Morrisen
Morrisen is an alternative spelling or variant form of the surname Morrison.
-
D.
Morrow
Morrow is a surname of English origin borne by various notable individuals across politics, arts, and academia.
-
E.
Morrow
Morrow is a small suburban city in Clayton County, Georgia, known for hosting the main campus of Clayton State University just south of Atlanta.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e4782db4819093baee57f34be490 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.