Triple
T27879049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langley Productions |
E705036
|
entity |
| Predicate | hasNotableSeriesRun |
P78581
|
FINISHED |
| Object | Cops multi-decade run on U.S. television |
—
|
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: Cops multi-decade run on U.S. television | Statement: [Langley Productions, hasNotableSeriesRun, Cops multi-decade run on U.S. television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSeriesRun Context triple: [Langley Productions, hasNotableSeriesRun, Cops multi-decade run on U.S. television]
-
A.
notableSeriesRun
Indicates that an entity is recognized for having a significant or distinguished run within a particular series or sequence of events.
-
B.
hasProminentSeries
Indicates that an entity is notably associated with a major or well-known series as a defining feature.
-
C.
hasNotableTelevisionSeries
chosen
Indicates that an entity is associated with one or more television series that are considered notable or significant.
-
D.
hasNotableShow
Indicates that an entity is associated with a particular show that is considered notable or significant.
-
E.
hasSoloSeries
Indicates that an entity has its own dedicated solo series, separate from group or shared appearances.
- 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fed48d8e148190a99c0aea29f8a3ee |
completed | May 9, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fed3c82a24819095e614e31ac0307f |
completed | May 9, 2026, 6:27 a.m. |
Created at: April 27, 2026, 6:29 p.m.