Triple
T24595834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilot (Animal Kingdom) |
E608664
|
entity |
| Predicate | introducesFictionalFamily |
P156691
|
FINISHED |
| Object | Cody family |
—
|
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: Cody family | Statement: [Pilot (Animal Kingdom), introducesFictionalFamily, Cody family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducesFictionalFamily Context triple: [Pilot (Animal Kingdom), introducesFictionalFamily, Cody family]
-
A.
hasFictionalFamily
Indicates that an entity is associated with a family that exists only within a fictional or imaginary context.
-
B.
inspiredFictionalFamily
Indicates that a real or existing family served as the creative basis or model for a fictional family in a narrative work.
-
C.
frequentedByFictionalFamily
Indicates that a place or establishment is regularly visited or commonly associated with a particular fictional family.
-
D.
familySurnameInStory
Indicates that a particular family surname appears within the narrative or context of a given story.
-
E.
familyStatusInSeries
Indicates the familial role or relationship an entity holds within the context of a particular series or narrative.
- 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:30 a.m.