Triple
T38071629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avengers Assemble |
E950599
|
entity |
| Predicate | season5Subtitle |
P195334
|
FINISHED |
| Object | Black Panther’s Quest |
—
|
NE NERFINISHED |
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: Black Panther’s Quest | Statement: [Avengers Assemble, season5Subtitle, Black Panther’s Quest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: season5Subtitle Context triple: [Avengers Assemble, season5Subtitle, Black Panther’s Quest]
-
A.
season1Subtitle
Indicates that one entity is the subtitle or subheading associated specifically with the first season of another entity.
-
B.
season2Subtitle
Indicates that an entity serves as the subtitle (secondary title or tagline) specifically for the second season of another entity (such as a TV series).
-
C.
seasonSubtitle
Indicates that a particular text string serves as the subtitle or secondary title for a specific season within a series.
-
D.
season2Title
Indicates that the object is the title of the second season of the subject.
-
E.
thirdSeasonSubtitle
Indicates the subtitle or secondary title assigned to the third season of a series or show.
- 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
| PDg | Predicate description generation | batch_69fdbaa1313081908beea28a5597ae40 |
completed | May 8, 2026, 10:27 a.m. |
Created at: May 3, 2026, 4:21 p.m.