Triple
T25168016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Preston |
E630234
|
entity |
| Predicate | residenceDuringStory |
P49534
|
FINISHED |
| Object | starship Avalon concourse |
—
|
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: starship Avalon concourse | Statement: [Jim Preston, residenceDuringStory, starship Avalon concourse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residenceDuringStory Context triple: [Jim Preston, residenceDuringStory, starship Avalon concourse]
-
A.
residenceDuringLife
Indicates that an entity lived or resided in a particular place during some period of its lifetime.
-
B.
residenceDuringEvent
chosen
Indicates that an entity resides or is located at a particular place for the duration of a specified event.
-
C.
residencyAt
Indicates that an entity lives or has an established residence at a particular location or address.
-
D.
residenceAtStartOfFilm
Indicates the place where a person or character is living at the beginning of the film.
-
E.
inResidenceAt
Indicates that an entity lives or resides at a particular location or residence.
- 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_69e75a87c9b88190ab60731902a99750 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 12:18 p.m.