Triple
T35704432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hearst College |
E1031676
|
entity |
| Predicate | majorAppearanceWork |
P200501
|
FINISHED |
| Object | Veronica Mars season 3 |
—
|
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: Veronica Mars season 3 | Statement: [Hearst College, majorAppearanceWork, Veronica Mars season 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorAppearanceWork Context triple: [Hearst College, majorAppearanceWork, Veronica Mars season 3]
-
A.
settingOfWorkAppearsIn
Indicates that a particular place, time, or environment serves as the setting within which a given creative work’s events or narrative occur.
-
B.
appearsInWorkAbout
Indicates that an entity is mentioned or featured within a work whose subject or focus is that entity.
-
C.
showsWorkOf
Indicates that one entity presents, exhibits, or displays the work or creations produced by another entity.
-
D.
significantWorkHeld
Indicates that an entity possesses, houses, or maintains an important or notable work (such as an artwork, document, or creation) in its collection or custody.
-
E.
majorSee
Indicates that one entity serves as the primary or most important location where another entity is based, operates, or is centered.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff90b673248190b4dda9e005642d17 |
completed | May 9, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69ff8d5bee1081909274052945e98a6f |
completed | May 9, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69ff90b5b98881909620033d78e4a9b8 |
completed | May 9, 2026, 7:53 p.m. |
Created at: May 3, 2026, 4:05 p.m.