Triple

T8708456
Position Surface form Disambiguated ID Type / Status
Subject Cosm E206711 entity
Predicate hasSequelRelation P1961 FINISHED
Object Eater E206712 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: Eater | Statement: [Cosm, hasSequelRelation, Eater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eater
Context triple: [Cosm, hasSequelRelation, Eater]
  • A. Eater chosen
    Eater is a science fiction novel by Gregory Benford that explores humanity’s encounter with a mysterious, sentient black hole-like entity.
  • B. Bon Appétit
    Bon Appétit is a popular American food and lifestyle magazine and media brand known for its recipes, cooking videos, and culinary culture coverage.
  • C. Diner
    Diner is a 1982 American coming-of-age comedy-drama film directed by Barry Levinson that follows a group of friends reuniting in 1959 Baltimore as they navigate adulthood, relationships, and changing times.
  • D. Gourmet Ghetto
    Gourmet Ghetto is a renowned Berkeley neighborhood celebrated as a pioneering hub of California cuisine and artisanal food culture.
  • E. Beyond Burger
    Beyond Burger is a popular plant-based burger patty designed to closely mimic the taste and texture of beef while being made entirely from non-animal ingredients.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58ffa6a481908866b6239d1d9b92 completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28b78e90819098ab1d4877ab88fe completed April 3, 2026, 2:40 a.m.
Created at: March 30, 2026, 6:35 p.m.