Triple
T10542369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecil Womack |
E248727
|
entity |
| Predicate | formedDuoWith |
P45764
|
FINISHED |
| Object | Linda Womack |
E936728
|
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: Linda Womack | Statement: [Cecil Womack, formedDuoWith, Linda Womack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Womack Context triple: [Cecil Womack, formedDuoWith, Linda Womack]
-
A.
Linda Womack
chosen
Linda Womack is an American singer and songwriter, best known as half of the soul/R&B duo Womack & Womack.
-
B.
Linda Avey
Linda Avey is an American entrepreneur and co-founder of the personal genomics company 23andMe, known for pioneering direct-to-consumer DNA testing.
-
C.
Melinda Mullins
Melinda Mullins is an American actress best known for her role on the 1990s AMC television series "Remember WENN."
-
D.
LouAnne Johnson
LouAnne Johnson is an American teacher and author best known for her memoir about working with at-risk high school students, which inspired the film "Dangerous Minds."
-
E.
Loretta Wade
Loretta Wade is a fictional medical examiner in the television series "NCIS: New Orleans," known for her sharp forensic skills and compassionate demeanor.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5190f46d08190a92b1191881ffb92 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f018324bf88190bcd2bf168b1065d3 |
completed | April 28, 2026, 2:15 a.m. |
Created at: April 6, 2026, 12:32 p.m.