Triple

T14329626
Position Surface form Disambiguated ID Type / Status
Subject Cheaper by the Dozen 2 E355310 entity
Predicate starring P1507 FINISHED
Object Jacob Smith E1032515 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: Jacob Smith | Statement: [Cheaper by the Dozen 2, starring, Jacob Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacob Smith
Context triple: [Cheaper by the Dozen 2, starring, Jacob Smith]
  • A. Jacob Smith chosen
    Jacob Smith is an American actor best known for his role as one of the Baker children in the family comedy film "Cheaper by the Dozen."
  • B. Phil Scott
    Phil Scott is an American Republican politician and businessman who has served as the governor of Vermont, known for his moderate views and bipartisan approach to governance.
  • C. Wilder Davis
    Wilder Davis is an individual notable enough to be recognized as a bearer of the given name Wilder.
  • D. Ben Sasse
    Ben Sasse is an American academic and politician who served as a U.S. Senator from Nebraska before becoming president of the University of Florida.
  • E. Larry Wolf
    Larry Wolf is an individual notable enough to be recognized as a prominent bearer of the surname Wolf, though specific widely known achievements or roles are not clearly established from this context alone.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1def0081908f03cda8e84d20c0 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46943dac819092f5935d9d312949 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:13 a.m.