Triple

T13171063
Position Surface form Disambiguated ID Type / Status
Subject Chas Tenenbaum E312975 entity
Predicate hasChild P369 FINISHED
Object Uzi Tenenbaum
Uzi Tenenbaum is one of Chas Tenenbaum’s precocious twin sons in Wes Anderson’s film "The Royal Tenenbaums."
E1025564 NE FINISHED

How this triple was built (4 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: Uzi Tenenbaum | Statement: [Chas Tenenbaum, hasChild, Uzi Tenenbaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uzi Tenenbaum
Context triple: [Chas Tenenbaum, hasChild, Uzi Tenenbaum]
  • A. Ben Decter
    Ben Decter is a television and film composer known for scoring series such as the action-comedy drama "Lethal Weapon."
  • B. Stephen Weiss
    Stephen Weiss is a Canadian former professional ice hockey center best known for his long NHL career with the Florida Panthers.
  • C. Myles Spiegel
    Myles Spiegel is the son of Australian model Miranda Kerr and her husband, Snapchat co-founder Evan Spiegel.
  • D. R. Giskard Reventlov
    R. Giskard Reventlov is a powerful telepathic robot from Isaac Asimov’s Robot series whose unique abilities and ethical dilemmas play a pivotal role in shaping the development of the Three Laws of Robotics.
  • E. Walter Joseph Kovacs
    Walter Joseph Kovacs is the uncompromising, vigilante antihero behind the mask of Rorschach in the graphic novel "Watchmen."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Uzi Tenenbaum
Triple: [Chas Tenenbaum, hasChild, Uzi Tenenbaum]
Generated description
Uzi Tenenbaum is one of Chas Tenenbaum’s precocious twin sons in Wes Anderson’s film "The Royal Tenenbaums."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Uzi Tenenbaum
Target entity description: Uzi Tenenbaum is one of Chas Tenenbaum’s precocious twin sons in Wes Anderson’s film "The Royal Tenenbaums."
  • A. Ben Decter
    Ben Decter is a television and film composer known for scoring series such as the action-comedy drama "Lethal Weapon."
  • B. Stephen Weiss
    Stephen Weiss is a Canadian former professional ice hockey center best known for his long NHL career with the Florida Panthers.
  • C. Myles Spiegel
    Myles Spiegel is the son of Australian model Miranda Kerr and her husband, Snapchat co-founder Evan Spiegel.
  • D. R. Giskard Reventlov
    R. Giskard Reventlov is a powerful telepathic robot from Isaac Asimov’s Robot series whose unique abilities and ethical dilemmas play a pivotal role in shaping the development of the Three Laws of Robotics.
  • E. Walter Joseph Kovacs
    Walter Joseph Kovacs is the uncompromising, vigilante antihero behind the mask of Rorschach in the graphic novel "Watchmen."
  • F. None of above. chosen

Provenance (5 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2f22b881908a0af3af0a0af971 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eafb81288190a6dcc3bd872998d8 completed May 3, 2026, 6:28 a.m.
NEDg Description generation batch_69f6f18100148190bdb501b21d37e6af completed May 3, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6f25118508190a35d88cfbdfd77ec completed May 3, 2026, 6:59 a.m.
Created at: April 9, 2026, 9:13 p.m.