Triple
T30132965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Garrett |
E765896
|
entity |
| Predicate | predecessorRoleInContinuity |
P14604
|
FINISHED |
| Object | first Blue Beetle |
—
|
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: first Blue Beetle | Statement: [Dan Garrett, predecessorRoleInContinuity, first Blue Beetle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorRoleInContinuity Context triple: [Dan Garrett, predecessorRoleInContinuity, first Blue Beetle]
-
A.
predecessorInRole
chosen
Indicates that one entity previously held a particular role or position that was later occupied by another entity.
-
B.
hasPredecessorRoleIn
Indicates that one role functioned earlier in time or sequence relative to another role within the same context or position.
-
C.
successorRole
Indicates that one role or position directly follows and replaces another in a sequence or organizational structure.
-
D.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
-
E.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
- 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_69f22477d1a081908df2b7e6ed16859d |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: April 29, 2026, 7:15 p.m.