Triple
T26650419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowell Mather |
E669033
|
entity |
| Predicate | seriesSettingLocation |
P124559
|
FINISHED |
| Object | Nantucket, Massachusetts |
—
|
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: Nantucket, Massachusetts | Statement: [Lowell Mather, seriesSettingLocation, Nantucket, Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesSettingLocation Context triple: [Lowell Mather, seriesSettingLocation, Nantucket, Massachusetts]
-
A.
seriesLocation
Indicates that one entity is the place or venue where a series (such as events, performances, or installments) takes place.
-
B.
plotLocation
Indicates the relationship between a creative work and the place or setting where its story or events occur.
-
C.
basedInSeriesSetting
chosen
Indicates that something (such as a work, event, or element) is situated within or occurs in the primary setting established by a particular series.
-
D.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
E.
situatedInSeries
Indicates that one entity is located or positioned within a particular series, sequence, or ordered collection of related items.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 27, 2026, 2:32 a.m.