Triple

T13083525
Position Surface form Disambiguated ID Type / Status
Subject Etheline Tenenbaum E310270 entity
Predicate hasChild P369 FINISHED
Object Richie Tenenbaum E310271 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: Richie Tenenbaum | Statement: [Etheline Tenenbaum, hasChild, Richie Tenenbaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richie Tenenbaum
Context triple: [Etheline Tenenbaum, hasChild, Richie Tenenbaum]
  • A. Richie Tenenbaum chosen
    Richie Tenenbaum is a melancholic former tennis prodigy and one of the eccentric siblings at the center of Wes Anderson’s film "The Royal Tenenbaums."
  • B. Kim Billick
    Kim Billick is best known as the wife of former NFL head coach and Super Bowl champion Brian Billick.
  • C. Royal Tenenbaum
    Royal Tenenbaum is the flawed, estranged patriarch of the eccentric Tenenbaum family in Wes Anderson’s film "The Royal Tenenbaums."
  • D. Logan Green
    Logan Green is an American entrepreneur best known as the co-founder and former CEO of the ride-sharing company Lyft.
  • E. Conrad Dobler
    Conrad Dobler was a hard-nosed NFL offensive lineman best known for his aggressive, often controversial play with the St. Louis Cardinals in the 1970s.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9811add9881908a92186dab5b6d48 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e272629c8190926dbc9df447b6c4 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:02 p.m.