Triple
T27088954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zola Grey Shepherd |
E686107
|
entity |
| Predicate | relationshipToDerekShepherd |
P199456
|
FINISHED |
| Object | adopted daughter |
—
|
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: adopted daughter | Statement: [Zola Grey Shepherd, relationshipToDerekShepherd, adopted daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToDerekShepherd Context triple: [Zola Grey Shepherd, relationshipToDerekShepherd, adopted daughter]
-
A.
relationshipToMeredithGrey
Indicates the specific interpersonal or familial relationship that an entity has with Meredith Grey.
-
B.
relationshipToShawnSpencer
Indicates the specific type of personal or social relationship an entity has with Shawn Spencer.
-
C.
relationshipToRichardWebber
Indicates the specific familial, professional, or personal relationship that an entity has with Richard Webber.
-
D.
relationshipToJaneRizzoli
Indicates the specific familial, social, or professional relationship that one entity has to Jane Rizzoli.
-
E.
relationshipWithDoctorParnassus
Indicates that an entity has a personal or professional relationship with Doctor Parnassus.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69ff3b32ee148190a3ba3b7600943fef |
completed | May 9, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69ff3a238af88190a2c2245e30299e48 |
completed | May 9, 2026, 1:44 p.m. |
| PDg | Predicate description generation | batch_69ff3b323a748190827165f1cb274141 |
completed | May 9, 2026, 1:48 p.m. |
Created at: April 27, 2026, 8:39 a.m.