Triple
T17843833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jayne Houdyshell |
E445603
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jayne |
—
|
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: Jayne | Statement: [Jayne Houdyshell, givenName, Jayne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jayne Context triple: [Jayne Houdyshell, givenName, Jayne]
-
A.
Jayne
chosen
Jayne is a feminine given name most notably borne by American actress and television personality Jayne Meadows.
-
B.
Jayne
Jayne is a surname most notably associated with English actress Jennifer Jayne, known for her work in mid-20th-century British film and television.
-
C.
Jayne Cobb
Jayne Cobb is a tough, heavily armed mercenary and crew member aboard the spaceship Serenity in the science-fiction TV series "Firefly."
-
D.
Jayna
Jayna is a Canadian former ice hockey forward renowned as one of the most decorated players in women’s hockey history, including multiple Olympic gold medals with Team Canada.
-
E.
Janeane
Janeane is a female given name most notably associated with American comedian and actress Janeane Garofalo.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ff980048190b496c55b83b3b318 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.