Triple
T29183438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coming Up for Air |
E739802
|
entity |
| Predicate | protagonistHometown |
P81759
|
FINISHED |
| Object | Lower Binfield |
—
|
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: Lower Binfield | Statement: [Coming Up for Air, protagonistHometown, Lower Binfield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistHometown Context triple: [Coming Up for Air, protagonistHometown, Lower Binfield]
-
A.
homeCityInStory
chosen
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.
protagonistHomeworld
Indicates the homeworld or place of origin associated with a story’s main protagonist.
-
D.
protagonistOrigin
Indicates that one entity is the origin, source, or starting point of the protagonist in a narrative or story.
-
E.
protagonistNationality
Indicates the country or national identity to which the protagonist of a work is associated or belongs.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 11:58 a.m.