Triple
T32193114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Bronson |
E822318
|
entity |
| Predicate | caresForCharacter |
P173304
|
FINISHED |
| Object | Norma |
—
|
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: Norma | Statement: [Mrs. Bronson, caresForCharacter, Norma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caresForCharacter Context triple: [Mrs. Bronson, caresForCharacter, Norma]
-
A.
capturesCharacter
Indicates that one entity seizes, traps, or takes control of another character.
-
B.
appliesToCharacter
Indicates that an action, rule, or property is specifically directed toward or relevant for a particular character.
-
C.
containsCharacterAction
Indicates that an entity includes or features an action performed by a character within it.
-
D.
containsCharacter
Indicates that one entity includes a specific character as part of its content or composition.
-
E.
reactsToCharacter
Indicates that one entity exhibits a response or behavior as a result of another specific character’s presence, actions, or attributes.
- F. None of above. chosen
Provenance (4 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb35369c8190992fe7dad36a2a9d |
completed | May 3, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b42902a081909126c7322858a2b3 |
completed | May 3, 2026, 2:34 a.m. |
Created at: May 1, 2026, 12:35 a.m.