Triple
T20870633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope Lange |
E513879
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Patricia Murray |
—
|
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: Patricia Murray | Statement: [Hope Lange, hasChild, Patricia Murray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patricia Murray Context triple: [Hope Lange, hasChild, Patricia Murray]
-
A.
Patricia Murray
Patricia Murray is known as the spouse of American glass artist and sculptor Dan Dailey.
-
B.
Patricia Murray
chosen
Patricia Murray is known as the daughter of American actor Don Murray.
-
C.
Patricia Burr
Patricia Burr is an individual notable enough to be recognized as a bearer of the surname Burr, though specific widely known public details about her are not readily established.
-
D.
Patricia Pugh
Patricia Pugh is a racehorse owner best known for owning the top-class National Hunt chaser Altior.
-
E.
Patricia Bowman
Patricia Bowman was an American dancer and actress best known as a pioneering ballerina and early star of the American Ballet Theatre.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4637ec48190830023d20fb8124c |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:45 p.m.