Triple
T29534638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Sands |
E749302
|
entity |
| Predicate | characterPlayedByMaryElizabethMastrantonio |
P9616
|
FINISHED |
| Object | Lane Bodine |
—
|
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: Lane Bodine | Statement: [White Sands, characterPlayedByMaryElizabethMastrantonio, Lane Bodine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedByMaryElizabethMastrantonio Context triple: [White Sands, characterPlayedByMaryElizabethMastrantonio, Lane Bodine]
-
A.
characterPlayedByKathleenQuinlan
Indicates that a given character is portrayed or acted by Kathleen Quinlan.
-
B.
characterPlayedBy Shirley Eaton
Indicates that a specific character is portrayed or acted by Shirley Eaton.
-
C.
roleOfDellaStreetPlayedBy
Indicates that a specified actor portrays the character Della Street in a performance or production.
-
D.
characterPlayedBy Jill Clayburgh
Indicates that the specified character is portrayed or acted by Jill Clayburgh.
-
E.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
- F. None of above.
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_69f0bd47abb081909bd6e6a33d770fd8 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 28, 2026, 4:56 p.m.