Triple
T35704405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hearst College |
E1031676
|
entity |
| Predicate | settingForSeason |
P121896
|
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, settingForSeason, Veronica Mars season 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingForSeason Context triple: [Hearst College, settingForSeason, Veronica Mars season 3]
-
A.
settingOfSeason1
Indicates the primary location or environment in which the events of season 1 take place.
-
B.
settingOfLaterSeasons
chosen
Indicates that the referenced location serves as the primary setting in later seasons of a series or serialized work.
-
C.
setDuringSeason
Indicates that an event, activity, or state occurs within or is associated with a specific season.
-
D.
timeSettingRelativeToSeason1
Indicates that one event, state, or setting occurs at a time positioned relative to a particular season (e.g., before, during, or after that season).
-
E.
basedOnSeason
Indicates that something is determined, influenced, or derived according to a particular season or time of year.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:05 p.m.