Triple
T14710418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cullen family |
E345531
|
entity |
| Predicate | locationCoverStory |
P115457
|
FINISHED |
| Object | adopted foster children of Carlisle and Esme Cullen |
—
|
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 foster children of Carlisle and Esme Cullen | Statement: [Cullen family, locationCoverStory, adopted foster children of Carlisle and Esme Cullen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationCoverStory Context triple: [Cullen family, locationCoverStory, adopted foster children of Carlisle and Esme Cullen]
-
A.
coverLocation
Indicates that one entity serves as a covering or protective layer positioned at or over a specific location of another entity.
-
B.
homeLocationInStory
Indicates the place that serves as a character’s primary home or base of residence within the context of the story.
-
C.
locationOfNarrative
Indicates the place or setting where the events or story described in the narrative occur.
-
D.
narrativeLocationType
Indicates the type or role of a location within the structure or context of a narrative (e.g., setting, origin, destination).
-
E.
homeCityInStory
Indicates that a specified city serves as a character’s home city within the context of a particular story.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb9814e0c8190984ac30d276499cc |
completed | April 14, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:28 a.m.