Triple
T32877217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonanza Theme |
E840959
|
entity |
| Predicate | linkedToCharacters |
P76158
|
FINISHED |
| Object | Cartwright family from Bonanza |
—
|
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: Cartwright family from Bonanza | Statement: [Bonanza Theme, linkedToCharacters, Cartwright family from Bonanza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToCharacters Context triple: [Bonanza Theme, linkedToCharacters, Cartwright family from Bonanza]
-
A.
relatedCharacter
Indicates that one character has a specified relationship or association with another character.
-
B.
associatedCharacters
chosen
Indicates that two or more characters are linked or connected through some relationship, involvement, or relevance to each other.
-
C.
relatedCharacterContext
Indicates a contextual relationship between characters, such as roles, interactions, or situational connections that link them within a specific narrative or setting.
-
D.
associatedWithCharacterRole
Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
-
E.
relatedCharacterType
Indicates that one character has a specified type of relationship or role in connection to another character.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: May 1, 2026, 1:18 a.m.