Triple
T25188641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Martin Whitly |
E630796
|
entity |
| Predicate | residesDuringSeries |
P159083
|
FINISHED |
| Object | psychiatric facility |
—
|
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: psychiatric facility | Statement: [Dr. Martin Whitly, residesDuringSeries, psychiatric facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residesDuringSeries Context triple: [Dr. Martin Whitly, residesDuringSeries, psychiatric facility]
-
A.
situatedInSeries
Indicates that one entity is located or positioned within a particular series, sequence, or ordered collection of related items.
-
B.
appearsInSeriesBy
Indicates that one entity (such as a work or character) is featured within a series that is created, authored, or produced by another entity.
-
C.
appearsInSeries
Indicates that an entity is featured or occurs within a particular series.
-
D.
basedInSeries
Indicates that one entity is set, located, or primarily takes place within the narrative world or context of a particular series.
-
E.
seriesLocation
Indicates that one entity is the place or venue where a series (such as events, performances, or installments) takes place.
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 12:44 p.m.