Triple

T14809293
Position Surface form Disambiguated ID Type / Status
Subject Stella Bonasera E348129 entity
Predicate hasColleague P398 FINISHED
Object Sid Hammerback E1098783 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: Sid Hammerback | Statement: [Stella Bonasera, hasColleague, Sid Hammerback]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sid Hammerback
Context triple: [Stella Bonasera, hasColleague, Sid Hammerback]
  • A. Sid Hammerback
    Sid Hammerback is a quirky and brilliant medical examiner on the television crime drama series CSI: NY.
  • B. Nick Boraine
    Nick Boraine is a South African actor known for his work in film, television, and theatre, often appearing in politically themed and socially conscious productions.
  • C. Dr. Sid Hammerback chosen
    Dr. Sid Hammerback is a quirky and brilliant medical examiner on the television series "CSI: NY," known for his eccentric personality and forensic expertise.
  • D. Woltorf
    Woltorf is a village and district of the town of Peine in Lower Saxony, Germany.
  • E. Rastapopoulos
    Rastapopoulos is a recurring villain in Hergé’s "The Adventures of Tintin," known as a ruthless, wealthy mastermind involved in various criminal enterprises.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf35a5e081909321193ef37099d1 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24ca88748190ae9e66bac5324e25 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:45 a.m.