Triple

T13083471
Position Surface form Disambiguated ID Type / Status
Subject Royal Tenenbaum E310269 entity
Predicate familyName P18 FINISHED
Object Tenenbaum
Tenenbaum is the surname of the eccentric, dysfunctional family at the center of Wes Anderson’s film "The Royal Tenenbaums."
 E1019710 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: Tenenbaum | Statement: [Royal Tenenbaum, familyName, Tenenbaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tenenbaum
Context triple: [Royal Tenenbaum, familyName, Tenenbaum]
  • A. Tennenbaum
    Tennenbaum is a Jewish-origin surname borne by various individuals, including the American writer Irving Stone.
  • B. Exelmans
    Exelmans is a Paris Métro station on Line 9 located in the 16th arrondissement of Paris, France.
  • C. Tene Kan
    Tene Kan is a Dogon language spoken in Mali, belonging to the larger Niger-Congo language family.
  • D. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • E. Webling
    Webling is a surname most notably associated with Peggy Webling, the British playwright and novelist known for her early stage adaptation of Mary Shelley's "Frankenstein."
  • 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: Tenenbaum
Triple: [Royal Tenenbaum, familyName, Tenenbaum]
Generated description
Tenenbaum is the surname of the eccentric, dysfunctional family at the center of Wes Anderson’s film "The Royal Tenenbaums."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tenenbaum
Target entity description: Tenenbaum is the surname of the eccentric, dysfunctional family at the center of Wes Anderson’s film "The Royal Tenenbaums."
  • A. Tennenbaum
    Tennenbaum is a Jewish-origin surname borne by various individuals, including the American writer Irving Stone.
  • B. Exelmans
    Exelmans is a Paris Métro station on Line 9 located in the 16th arrondissement of Paris, France.
  • C. Tene Kan
    Tene Kan is a Dogon language spoken in Mali, belonging to the larger Niger-Congo language family.
  • D. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • E. Webling
    Webling is a surname most notably associated with Peggy Webling, the British playwright and novelist known for her early stage adaptation of Mary Shelley's "Frankenstein."
  • 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_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_69f6d60e7b48819087e4583a5736c1df completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d76cc33c8190ac8113094bcf868b completed May 3, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_69f6d8013e9481908f5edcce7247212d completed May 3, 2026, 5:07 a.m.
Created at: April 9, 2026, 9:02 p.m.