Triple
T17888117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flashpoint |
E447245
|
entity |
| Predicate | roleInContinuity |
P84382
|
FINISHED |
| Object | catalyst for DC Comics New 52 reboot |
—
|
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: catalyst for DC Comics New 52 reboot | Statement: [Flashpoint, roleInContinuity, catalyst for DC Comics New 52 reboot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInContinuity Context triple: [Flashpoint, roleInContinuity, catalyst for DC Comics New 52 reboot]
-
A.
continuityRole
chosen
Indicates that one entity serves a continuity-related function in relation to another, such as maintaining consistency or coherence across versions, segments, or states.
-
B.
laterIdentityContinuityWith
Indicates that an entity at a later time is considered the same continuing individual or identity as an entity at an earlier time.
-
C.
contingencyRole
Indicates a role that an entity assumes specifically in the context of a contingent, conditional, or dependent situation or relationship.
-
D.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c14c4348190bb77712d9eae1d51 |
completed | April 19, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:18 a.m.