Triple

T13624806
Position Surface form Disambiguated ID Type / Status
Subject Sam Winchester E325549 entity
Predicate enemy P4567 FINISHED
Object Lilith E272365 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: Lilith | Statement: [Sam Winchester, enemy, Lilith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lilith
Context triple: [Sam Winchester, enemy, Lilith]
  • A. Lilith chosen
    Lilith is a mythological and religious figure often depicted as a female demon or night spirit associated with independence, seduction, and danger in various Jewish and Mesopotamian traditions.
  • B. Lilith
    Lilith is a powerful Siren and one of the central playable protagonists and story-driving characters in the Borderlands video game series.
  • C. Lilith Ritter
    Lilith Ritter is a manipulative and enigmatic psychiatrist who plays a central role in the psychological and moral downfall of the protagonist in Nightmare Alley.
  • D. Satanika
    Satanika is a character from the Indian epic Mahabharata, known as one of the sons of Nakula and a warrior prince of the Pandava lineage.
  • E. D'Lila
    D'Lila is one of the twin daughters of music mogul Sean "Diddy" Combs and the late model Kim Porter.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9b0b648190afee93121483f45f completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa4c5fc8190bd791f181fce2aa1 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.