Triple
T38370462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Girl loft |
E892561
|
entity |
| Predicate | recurringLocationAcrossSeasons |
P26564
|
FINISHED |
| Object | season 1 |
—
|
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: season 1 | Statement: [New Girl loft, recurringLocationAcrossSeasons, season 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recurringLocationAcrossSeasons Context triple: [New Girl loft, recurringLocationAcrossSeasons, season 1]
-
A.
recurringLocation
chosen
Indicates that an event, action, or state happens repeatedly at the specified location over time.
-
B.
subsequentSeasonLocationsInclude
Indicates that the locations specified are among those used in one or more seasons that follow a given season in a series or sequence.
-
C.
repeatLocation
Indicates that an entity occurs or appears multiple times at the same location or position.
-
D.
recurringDuring
Indicates that an event or state happens repeatedly within the time span or context defined by another event or interval.
-
E.
recurringEvent
Indicates that an event occurs repeatedly over time according to some regular pattern or schedule.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.