Triple
T14989219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandisa Glover |
E373787
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Glover |
E215895
|
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: Glover | Statement: [Mandisa Glover, hasFamilyName, Glover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glover Context triple: [Mandisa Glover, hasFamilyName, Glover]
-
A.
Glover
chosen
Glover is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
B.
Legend Glover
Legend Glover is one of the children of American actor, writer, comedian, and musician Donald Glover.
-
C.
Glenn
Glenn is the first name of Glenn Quagmire, a hyperactive, sex-obsessed neighbor character from the animated TV series "Family Guy."
-
D.
Glenn
Glenn is a small unincorporated community located within Glenn County in the state of California.
-
E.
Glenn
Glenn "Bo" Schembechler was a legendary American college football coach best known for his long and successful tenure leading the University of Michigan Wolverines.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7148a308190a687f4d0d61397c6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969683348190bb4688f24227af88 |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:53 a.m.