Triple

T8725173
Position Surface form Disambiguated ID Type / Status
Subject Greg Sanders E207112 entity
Predicate hasColleague P398 FINISHED
Object Sara Sidle E197709 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: Sara Sidle | Statement: [Greg Sanders, hasColleague, Sara Sidle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara Sidle
Context triple: [Greg Sanders, hasColleague, Sara Sidle]
  • A. Sara Sidle chosen
    Sara Sidle is a forensic scientist and key member of the Las Vegas crime lab team in the television series "CSI: Crime Scene Investigation."
  • B. Claire Temple
    Claire Temple is a compassionate and resourceful nurse in the Marvel universe who frequently aids street-level heroes like Daredevil and Luke Cage, often serving as a crucial moral and medical support.
  • C. Calleigh Duquesne
    Calleigh Duquesne is a ballistics expert and crime scene investigator on the television series CSI: Miami, known for her Southern charm, professionalism, and forensic expertise.
  • D. Dani Dennison
    Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
  • E. Elizabeth Watson
    Elizabeth Watson is known as the wife of molecular biologist and DNA double-helix co-discoverer James Watson.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d1404948190bc45d14a1ddb1a7e completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42a3efa881908ffc5e1a257fd472 completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:36 p.m.