Triple
T25715012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Cinq Dernières Minutes |
E644838
|
entity |
| Predicate | typicalEpisodeFocus |
P51458
|
FINISHED |
| Object | police investigation |
—
|
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: police investigation | Statement: [Les Cinq Dernières Minutes, typicalEpisodeFocus, police investigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEpisodeFocus Context triple: [Les Cinq Dernières Minutes, typicalEpisodeFocus, police investigation]
-
A.
typicalEpisodeContent
chosen
Indicates that the specified content is characteristic or commonly found within episodes of the given series or program.
-
B.
episodeFocusOf
Indicates that a specific episode is the primary subject or focus of another entity, such as a discussion, analysis, or reference.
-
C.
focusOfEpisodes
Indicates that certain episodes primarily center on, feature, or are devoted to a particular entity as their main subject or theme.
-
D.
narrativeEpisode
Indicates that one event, scene, or segment functions as a distinct episode within a larger narrative or storyline.
-
E.
narratesEpisode
Indicates that one entity tells or recounts a specific episode or event involving another entity.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: April 21, 2026, 9:38 p.m.