Triple

T12996697
Position Surface form Disambiguated ID Type / Status
Subject David Valdes E322052 entity
Predicate workedOn P3 FINISHED
Object Blood Work E379896 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: Blood Work | Statement: [David Valdes, workedOn, Blood Work]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blood Work
Context triple: [David Valdes, workedOn, Blood Work]
  • A. Blood Work chosen
    Blood Work is a crime thriller novel by Michael Connelly featuring retired FBI profiler Terry McCaleb, who investigates the murder of the woman whose heart he received in a transplant.
  • B. Next of Kin
    "Next of Kin" is a psychological thriller novel by British author Kia Abdullah that explores moral dilemmas and family tragedy in the aftermath of a devastating mistake.
  • C. Next of Kin
    "Next of Kin" is a humorous science fiction novel by Eric Frank Russell that follows a crafty soldier who uses psychological tricks and invented alien threats to outwit his captors during an interstellar war.
  • D. Next of Kin
    "Next of Kin" is a song by the American heavy metal band Ruminations.
  • E. Next of Kin
    Next of Kin is a 1989 American action thriller film starring Patrick Swayze as a Chicago cop seeking vengeance for his brother’s murder.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7980288190a9fe629a8cc76a52 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc4111c8190ace7bf505cd652ee completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:45 p.m.