Triple
T38071143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Showcase #4 |
E950590
|
entity |
| Predicate | predecessorCharacter |
P140242
|
FINISHED |
| Object | Jay Garrick |
—
|
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: Jay Garrick | Statement: [Showcase #4, predecessorCharacter, Jay Garrick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorCharacter Context triple: [Showcase #4, predecessorCharacter, Jay Garrick]
-
A.
previousCharacter
chosen
Indicates that one character directly precedes another in a sequence or string.
-
B.
predecessorCharacterization
Indicates that one entity serves as a prior or earlier characterization or description upon which another characterization is based or from which it is derived.
-
C.
successorCharacter
Indicates that one character directly follows another in a sequence, such as in text, ordering, or narrative progression.
-
D.
predecessorCharacteristics
Indicates that certain characteristics or attributes are inherited or derived from a predecessor entity in a 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
Created at: May 3, 2026, 4:21 p.m.