Triple
T32278571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Allenby |
E824626
|
entity |
| Predicate | episodeTheme |
P136955
|
FINISHED |
| Object | isolation |
—
|
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: isolation | Statement: [Captain Allenby, episodeTheme, isolation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: episodeTheme Context triple: [Captain Allenby, episodeTheme, isolation]
-
A.
laterEpisodeTheme
Indicates that a theme reappears or is developed further in a later episode relative to an earlier one.
-
B.
episodeTitle
Indicates that a given title string is the name of a specific episode within a series or program.
-
C.
episodeFocusOf
Indicates that a specific episode is the primary subject or focus of another entity, such as a discussion, analysis, or reference.
-
D.
introducesTheme
chosen
Indicates that an entity presents or brings a particular theme into focus within a work, discourse, or context.
-
E.
narrativeEpisode
Indicates that one event, scene, or segment functions as a distinct episode within a larger narrative or storyline.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 12:43 a.m.