Triple

T13594762
Position Surface form Disambiguated ID Type / Status
Subject Inspector Steve Keller E324787 entity
Predicate fullName P16 FINISHED
Object Steve Keller E1049199 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: Steve Keller | Statement: [Inspector Steve Keller, fullName, Steve Keller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Keller
Context triple: [Inspector Steve Keller, fullName, Steve Keller]
  • A. Steve Keller chosen
    Steve Keller is a young, idealistic homicide detective in the TV series "The Streets of San Francisco," partnered with and mentored by veteran cop Lt. Mike Stone.
  • B. Jack Keller
    Jack Keller was an American songwriter and producer associated with the Brill Building era, known for co-writing numerous pop hits in the 1960s.
  • C. Kevin Kelley
    Kevin Kelley is an American former professional boxer best known as a featherweight world champion and action-oriented contender during the 1990s and early 2000s.
  • D. Mike Kellerman
    Mike Kellerman is a fictional Baltimore homicide detective known for his morally complex investigations and personal struggles on the television series "Homicide: Life on the Street."
  • E. Steve Kirsch
    Steve Kirsch is an American entrepreneur and inventor best known for founding multiple technology companies, including the early internet search engine Infoseek.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8ffc508190a7bc69745c43a644 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.