Triple
T24290912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cisco Kid (TV series) |
E605810
|
entity |
| Predicate | characterTraitOfCisco |
P37384
|
FINISHED |
| Object | gallant and chivalrous |
—
|
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: gallant and chivalrous | Statement: [The Cisco Kid (TV series), characterTraitOfCisco, gallant and chivalrous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterTraitOfCisco Context triple: [The Cisco Kid (TV series), characterTraitOfCisco, gallant and chivalrous]
-
A.
associatedCharacterTrait
chosen
Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
-
B.
coachingTrait
Indicates that one entity possesses a characteristic, style, or quality specifically related to coaching.
-
C.
childCharacterTrait
Indicates that a child possesses or exhibits a particular character trait.
-
D.
roleCharacteristic
Indicates that a particular characteristic, quality, or attribute is associated with and helps define a given role or function.
-
E.
businessTrait
Indicates that an entity possesses a particular business-related characteristic, quality, or attribute in relation to another entity or context.
- 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.