Triple

T20817247
Position Surface form Disambiguated ID Type / Status
Subject Allie Tannenbaum E512472 entity
Predicate familyName P18 FINISHED
Object Tannenbaum NE NERFINISHED

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: Tannenbaum | Statement: [Allie Tannenbaum, familyName, Tannenbaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tannenbaum
Context triple: [Allie Tannenbaum, familyName, Tannenbaum]
  • A. Tannenbaum chosen
    Tannenbaum is a surname of German origin borne by various individuals, including the mobster Allie "Tick Tock" Tannenbaum.
  • B. Tannen
    Tannen is the surname of the antagonistic outlaw family featured in the Back to the Future film series, most notably characters like Biff and Buford "Mad Dog" Tannen.
  • C. Tanne
    Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
  • D. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • E. Weidenbaum
    Weidenbaum is a surname most notably associated with Murray Weidenbaum, an American economist and former chairman of the U.S. Council of Economic Advisers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f429388190809dd532278fe310 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.