Triple
T11338786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margo Roth Spiegelman |
E268540
|
entity |
| Predicate | settingOfWorkSheAppearsIn |
P93372
|
FINISHED |
| Object | suburban Orlando, Florida |
—
|
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: suburban Orlando, Florida | Statement: [Margo Roth Spiegelman, settingOfWorkSheAppearsIn, suburban Orlando, Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfWorkSheAppearsIn Context triple: [Margo Roth Spiegelman, settingOfWorkSheAppearsIn, suburban Orlando, Florida]
-
A.
settingOfWorkFeaturedIn
Indicates that a place or environment serves as the primary setting where the events of a creative work take place.
-
B.
settingOfWorkAppearsIn
chosen
Indicates that a particular place, time, or environment serves as the setting within which a given creative work’s events or narrative occur.
-
C.
appearsInWorkByTitle
Indicates that an entity appears in, is featured in, or is contained within a work identified by its title.
-
D.
portraysInWork
Indicates that one entity depicts, represents, or plays the role of another entity within a specific creative work.
-
E.
authorOfWorkHeAppearsIn
Indicates that a person is the author of a work in which he himself appears as a character or subject.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:33 p.m.