Triple
T10493654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca of Sunnybrook Farm |
E247479
|
entity |
| Predicate | leadCharacterIsOrphan |
P46003
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rebecca of Sunnybrook Farm, leadCharacterIsOrphan, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadCharacterIsOrphan Context triple: [Rebecca of Sunnybrook Farm, leadCharacterIsOrphan, true]
-
A.
leadCharacterStatus
chosen
Indicates the role or condition of an entity when it serves as the primary or central character in a narrative or context.
-
B.
hasGuardianCharacter
Indicates that one entity serves as a guardian or protective character for another entity.
-
C.
hasParentCharacter
Indicates that one character is the parent of another character.
-
D.
doesNotFeatureCharacterDirectly
Indicates that the subject work does not include the specified character as an on-screen, on-page, or otherwise directly appearing participant in its content.
-
E.
hasProtagonist
Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:24 p.m.