Triple
T22601707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lester del Rey |
E574837
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Judy-Lynn del Rey |
—
|
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: Judy-Lynn del Rey | Statement: [Lester del Rey, spouse, Judy-Lynn del Rey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judy-Lynn del Rey Context triple: [Lester del Rey, spouse, Judy-Lynn del Rey]
-
A.
Judy-Lynn del Rey
chosen
Judy-Lynn del Rey was an influential American science fiction editor and publisher who helped shape the modern genre through her leadership at Del Rey Books.
-
B.
Sara Del Rey
Sara Del Rey is an American professional wrestler and highly respected trainer, best known for her influential role in developing many top women’s wrestlers in WWE.
-
C.
Lila Bolander
Lila Bolander is a fictional character portrayed by actress Bonnie Bartlett, best known from her appearances in American television drama.
-
D.
Molly Quinn
Molly Quinn is an American actress best known for her role as Alexis Castle on the TV series "Castle" and for supporting film roles including an appearance in the comedy "We're the Millers."
-
E.
Laurie Jameson
Laurie Jameson is a fictional protagonist whose experiences and perspective drive the narrative of the work in which she appears.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626db69481908ec9f9c7d320d3cb |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:50 p.m.