Triple
T15019056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danger Man |
E378033
|
entity |
| Predicate | hasBlackAndWhiteEpisodes |
P116418
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Danger Man, hasBlackAndWhiteEpisodes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBlackAndWhiteEpisodes Context triple: [Danger Man, hasBlackAndWhiteEpisodes, true]
-
A.
isBlackAndWhiteEpisodeOf
Indicates that an episode is a black-and-white version belonging to a particular series or show.
-
B.
hasEpisodes
Indicates that one entity (typically a series or show) contains or is composed of multiple episode entities.
-
C.
includesSpecialEpisodes
Indicates that the subject collection or series contains one or more special, non-regular episodes.
-
D.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
E.
hasEpisodeList
Indicates that an entity is associated with a collection or sequence of episodes, typically ordered as a list.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded76445988190984b57de66e00c4a |
completed | April 15, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:56 a.m.