Triple
T33537438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Conroy as Batman |
E858971
|
entity |
| Predicate | portrayalSpanEnd |
P113764
|
FINISHED |
| Object | 2020s |
—
|
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: 2020s | Statement: [Kevin Conroy as Batman, portrayalSpanEnd, 2020s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalSpanEnd Context triple: [Kevin Conroy as Batman, portrayalSpanEnd, 2020s]
-
A.
portrayalEndYear
chosen
Indicates the year in which a particular portrayal of an entity (such as a role, character, or representation) concluded.
-
B.
portrayalStart
Indicates the point in time or sequence at which a particular portrayal or depiction of something begins.
-
C.
portrayalDurationYears
Indicates the number of years an entity has continuously portrayed or represented another entity or role.
-
D.
portrayalReceived
Indicates that an entity has been depicted or represented by another entity, such as through an image, performance, or description.
-
E.
portrayalContinuity
Indicates that the same character is portrayed consistently across different works, installments, or versions, maintaining continuity in their depiction.
- 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fed48d8e148190a99c0aea29f8a3ee |
completed | May 9, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fed3c82a24819095e614e31ac0307f |
completed | May 9, 2026, 6:27 a.m. |
Created at: May 1, 2026, 1:39 a.m.