Triple
T38071141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Showcase #4 |
E950590
|
entity |
| Predicate | introducesVersionOfCharacter |
P151722
|
FINISHED |
| Object | Barry Allen as The Flash |
—
|
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: Barry Allen as The Flash | Statement: [Showcase #4, introducesVersionOfCharacter, Barry Allen as The Flash]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducesVersionOfCharacter Context triple: [Showcase #4, introducesVersionOfCharacter, Barry Allen as The Flash]
-
A.
introducesFictionalCharacter
chosen
Indicates that one entity is responsible for first presenting or bringing a fictional character into a narrative work or story.
-
B.
introducesCharacterSpecies
Indicates that an entity presents or brings into a context the species to which a character belongs.
-
C.
introducedByCharacter
Indicates that one character is responsible for presenting, bringing into the story, or otherwise causing another entity to be first revealed or made known.
-
D.
introducedCharacterType
Indicates that one entity is responsible for introducing or first presenting a particular type or category of character.
-
E.
introducedByCharacters
Indicates that something (such as an idea, object, or event) is brought into the narrative or context by specific characters.
- 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_69ff136ed2a881908f713401083970d1 |
completed | May 9, 2026, 10:58 a.m. |
| PD | Predicate disambiguation | batch_69ff10f9e3448190b6cb6ea5a67713c1 |
completed | May 9, 2026, 10:48 a.m. |
Created at: May 3, 2026, 4:21 p.m.