Triple
T30634633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cisco Kid |
E779804
|
entity |
| Predicate | firstAppearanceGenre |
P74890
|
FINISHED |
| Object | short story |
—
|
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: short story | Statement: [Cisco Kid, firstAppearanceGenre, short story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceGenre Context triple: [Cisco Kid, firstAppearanceGenre, short story]
-
A.
firstAppearanceType
chosen
Indicates the type or category of context (e.g., medium, format, or work) in which an entity makes its first recorded appearance.
-
B.
firstAppearanceFranchise
Indicates the franchise in which an entity made its first appearance.
-
C.
firstAppearanceFilm
Indicates the film in which an entity (such as a character or person) makes its first on-screen appearance.
-
D.
firstAppearancePublisher
Indicates the publisher responsible for releasing an entity’s first appearance.
-
E.
firstAppearanceAct
Indicates the act in which an entity makes its first appearance within a work or performance.
- 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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0308a4591081909018e2ba5d70096e |
completed | May 12, 2026, 11:01 a.m. |
| PD | Predicate disambiguation | batch_6a03079299708190a2ecaf14d3f06f48 |
completed | May 12, 2026, 10:57 a.m. |
Created at: April 29, 2026, 8:28 p.m.