Triple
T26718935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stana Katic as Kate Beckett |
E673645
|
entity |
| Predicate | notableDynamic |
P22
|
FINISHED |
| Object | crime-solving partnership with a mystery novelist |
—
|
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: crime-solving partnership with a mystery novelist | Statement: [Stana Katic as Kate Beckett, notableDynamic, crime-solving partnership with a mystery novelist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDynamic Context triple: [Stana Katic as Kate Beckett, notableDynamic, crime-solving partnership with a mystery novelist]
-
A.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
-
B.
notableDisplay
Indicates that something is prominently or distinctively presented in a way that draws special attention or recognition.
-
C.
notableDemo
Indicates that an entity is particularly well known or recognized for a specific demonstration, example, or showcase.
-
D.
notableSingle
Indicates that the subject is particularly recognized or distinguished for one specific, individual instance (such as a single work, event, or achievement).
-
E.
notableFor
chosen
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
- 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_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69ff14d596e88190be5263b7f96a96cd |
completed | May 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69ff13f0208081909369aeb3b77a6b1f |
completed | May 9, 2026, 11:01 a.m. |
Created at: April 27, 2026, 3:39 a.m.