Triple
T24292026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Tierney as Laura Hunt |
E605848
|
entity |
| Predicate | diegeticStatusLater |
P155415
|
FINISHED |
| Object | revealed to be alive |
—
|
LITERAL 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: revealed to be alive | Statement: [Gene Tierney as Laura Hunt, diegeticStatusLater, revealed to be alive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diegeticStatusLater Context triple: [Gene Tierney as Laura Hunt, diegeticStatusLater, revealed to be alive]
-
A.
laterIn
Indicates that one event, state, or time point occurs after another in temporal order.
-
B.
laterWithin
Indicates that one event or time point occurs later than another while still falling within a specified temporal interval or boundary.
-
C.
laterDuration
Indicates that one event or time interval occurs after another and lasts for a specified duration.
-
D.
airedUntil
Indicates the date or time up to which something, typically a broadcast or series, was shown or transmitted.
-
E.
laterSought
Indicates that one entity attempted to obtain, pursue, or request another entity at a subsequent time relative to some prior reference point.
- F. None of above. chosen
Provenance (4 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f29156ab8081909435b7178e9889bc |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:09 a.m.