Triple
T24290913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cisco Kid (TV series) |
E605810
|
entity |
| Predicate | characterTraitOfPancho |
P37384
|
FINISHED |
| Object | comic relief sidekick |
—
|
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: comic relief sidekick | Statement: [The Cisco Kid (TV series), characterTraitOfPancho, comic relief sidekick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterTraitOfPancho Context triple: [The Cisco Kid (TV series), characterTraitOfPancho, comic relief sidekick]
-
A.
protagonistCharacteristic
Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
-
B.
associatedCharacterTrait
chosen
Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
-
C.
childCharacterTrait
Indicates that a child possesses or exhibits a particular character trait.
-
D.
comicTrait
Indicates that an entity possesses a humorous or comedic characteristic, quality, or behavior.
-
E.
APACharacteristics
Indicates that one entity specifies or describes the attributes, features, or properties of another entity.
- 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f29156ab8081909435b7178e9889bc |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:08 a.m.