Triple
T26718960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Beckett |
E673646
|
entity |
| Predicate | lastAppearanceTitle |
P161160
|
FINISHED |
| Object | Crossfire |
—
|
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: Crossfire | Statement: [Kate Beckett, lastAppearanceTitle, Crossfire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastAppearanceTitle Context triple: [Kate Beckett, lastAppearanceTitle, Crossfire]
-
A.
lastAppearance
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
-
B.
lastSeasonAsTitle
Indicates that a given season is the final season in which an entity (such as a person or team) holds a particular title or role.
-
C.
lastHolderTitle
Indicates the official title or position held by the most recent holder of a given role, asset, or entity.
-
D.
lastRegularAppearanceDate
Indicates the date on which an entity made its most recent standard or non-special appearance.
-
E.
laterTitleHolder
Indicates that one entity is a subsequent holder of a particular title or position previously held by another entity.
- 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_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f617ff3a808190bb5cba40ba93830e |
completed | May 2, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 3:39 a.m.