Triple
T11328391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gertie |
E268281
|
entity |
| Predicate | homeLocationInStory |
P98527
|
FINISHED |
| Object | suburban California |
—
|
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: suburban California | Statement: [Gertie, homeLocationInStory, suburban California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeLocationInStory Context triple: [Gertie, homeLocationInStory, suburban California]
-
A.
homeCityInStory
Indicates that a specified city serves as a character’s home city within the context of a particular story.
-
B.
homeCityInBackstory
Indicates that an entity has a specified city as its home city within its narrative or character backstory.
-
C.
houseLocatedIn
Indicates that a house is situated within or belongs to a specific geographic location or area.
-
D.
narrativeLocationType
Indicates the type or role of a location within the structure or context of a narrative (e.g., setting, origin, destination).
-
E.
residenceAtStartOfFilm
Indicates the place where a person or character is living at the beginning of the film.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e330008190b75490efde01dc59 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.