Triple
T3984164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homer Murray |
E86829
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Margaret Kelly |
E316348
|
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: Margaret Kelly | Statement: [Homer Murray, parent, Margaret Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Kelly Context triple: [Homer Murray, parent, Margaret Kelly]
-
A.
Margaret Kelly
Margaret Kelly is an American artist and the first wife of actor and comedian Bill Murray, to whom she was married from 1981 to 1996.
-
B.
Margaret Hogan
Margaret Hogan was the wife of legendary Major League Baseball manager and team owner Connie Mack.
-
C.
Margaret Katherine Majer Kelly
chosen
Margaret Katherine Majer Kelly was an American physical education instructor and former model best known as the mother of actress and Princess of Monaco Grace Kelly.
-
D.
Marion Kilpatrick
Marion Kilpatrick was the wife of American conservative columnist and television commentator James J. Kilpatrick.
-
E.
Margaret Gibson
Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9de58d48190969f354a1bf0df94 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db6b01e48190a2e02597347f3348 |
completed | March 14, 2026, 10:04 p.m. |
Created at: March 9, 2026, 3:33 p.m.