Triple

T35704628
Position Surface form Disambiguated ID Type / Status
Subject Keith Mars E1031684 entity
Predicate fictionalUniverse P3758 FINISHED
Object Veronica Mars universe
The Veronica Mars universe is the fictional setting of the noir-style mystery TV series and related media centered on teen private investigator Veronica Mars in the crime-ridden town of Neptune, California.
E81053 NE 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: Veronica Mars universe | Statement: [Keith Mars, fictionalUniverse, Veronica Mars universe]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Veronica Mars universe
Triple: [Keith Mars, fictionalUniverse, Veronica Mars universe]
Generated description
The Veronica Mars universe is the fictional setting of the noir-style mystery TV series and related media centered on teen private investigator Veronica Mars in the crime-ridden town of Neptune, California.

Provenance (5 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_69f7a0c8143881909b4d1e4eef946799 completed May 3, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38dde852ac8190a413515e51f8152a completed June 22, 2026, 7:02 a.m.
NEDg Description generation batch_6a38f31341e8819089674bdcb9108e8b completed June 22, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_6a38f42ee2248190a208a783bf109761 completed June 22, 2026, 8:37 a.m.
Created at: May 3, 2026, 4:05 p.m.