Triple
T14252364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Corcoran |
E353300
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Donna Corcoran |
E1175760
|
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: Donna Corcoran | Statement: [Kevin Corcoran, sibling, Donna Corcoran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donna Corcoran Context triple: [Kevin Corcoran, sibling, Donna Corcoran]
-
A.
Donna Corcoran
chosen
Donna Corcoran is an American former child actress best known for her roles in 1950s films, particularly in family and aquatic-themed movies.
-
B.
Donna Molloy
Donna Molloy is a film and television producer known for her work on the project "Care."
-
C.
Colleen Donaghy
Colleen Donaghy is a sharp-tongued, overbearing Irish-American mother character from the TV series "30 Rock," known for her contentious yet influential relationship with her son Jack Donaghy.
-
D.
Donna Reardon
Donna Reardon is a Canadian municipal politician who serves as the mayor of Saint John, New Brunswick.
-
E.
Donna Meagle
Donna Meagle is a confident, luxury-loving office administrator in the comedy series "Parks and Recreation," known for her sharp wit, "treat yo' self" mantra, and no-nonsense attitude.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6296f9d0819086f62f525d07eb12 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb02d84d881909aa8a1a3653d37bf |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 10, 2026, 1:08 a.m.