Triple
T29942154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Age of Ultron (comics event) |
E760526
|
entity |
| Predicate | hasMainSeriesTitle |
P92006
|
FINISHED |
| Object | Age of Ultron |
—
|
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: Age of Ultron | Statement: [Age of Ultron (comics event), hasMainSeriesTitle, Age of Ultron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainSeriesTitle Context triple: [Age of Ultron (comics event), hasMainSeriesTitle, Age of Ultron]
-
A.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
-
B.
hasMainSeriesEntry
Indicates that an entity is a primary or canonical installment within a larger series or sequence of related works.
-
C.
hasPrimaryTitle
chosen
Indicates that an entity is associated with its main or official title, distinguishing it from any alternative or secondary titles.
-
D.
hasMainTitleCharacter
Indicates that a work’s primary or main title is centered on, derived from, or explicitly names a particular character.
-
E.
hasFullNameInSeriesTitle
Indicates that an entity’s complete name appears explicitly within the title of the series it is associated with.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ff79e7206c8190a809b5f2a6261378 |
completed | May 9, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69ff798356b881908645074fb3a96517 |
completed | May 9, 2026, 6:14 p.m. |
Created at: April 29, 2026, 6:23 p.m.