Triple
T21638859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiva Rose |
E534033
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Colette McDermott |
—
|
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: Colette McDermott | Statement: [Shiva Rose, hasChild, Colette McDermott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colette McDermott Context triple: [Shiva Rose, hasChild, Colette McDermott]
-
A.
Colette McDermott
chosen
Colette McDermott is an American actress and the daughter of actor Dylan McDermott.
-
B.
Deirdre Connolly
Deirdre Connolly is a television producer best known for her executive production work on the late-night Bravo talk show "Watch What Happens Live with Andy Cohen."
-
C.
Kathleen MacDermott
Kathleen MacDermott was the wife and frequent model of Irish painter Sir John Lavery, often appearing in his portraits and contributing to his artistic circle.
-
D.
Sarah Mullally
Sarah Mullally is an English Anglican bishop and former Chief Nursing Officer who became the Bishop of London, one of the most senior positions in the Church of England.
-
E.
Sheila Walsh
Sheila Walsh is a Scottish-born Christian singer, author, and speaker known for her contemporary Christian music and inspirational books.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef538fb12481908f70ad8dbe1d99e4 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.