Triple
T36211157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margot Mills |
E1047552
|
entity |
| Predicate | featuredInWorkReleasedIn |
P181238
|
FINISHED |
| Object | 2022 |
—
|
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: 2022 | Statement: [Margot Mills, featuredInWorkReleasedIn, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredInWorkReleasedIn Context triple: [Margot Mills, featuredInWorkReleasedIn, 2022]
-
A.
presentInWorkReleasedIn
chosen
Indicates that something appears within a work (e.g., book, film, album) that has been released in a specified year or time period.
-
B.
settingOfWorkFeaturedIn
Indicates that a place or environment serves as the primary setting where the events of a creative work take place.
-
C.
appearsInWorkAbout
Indicates that an entity is mentioned or featured within a work whose subject or focus is that entity.
-
D.
featuredInProductionBy
Indicates that an entity is prominently included or highlighted within a production (such as a show, film, or event) that is created or presented by a specific producer or organization.
-
E.
featuredIn
Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.