Triple

T4497556
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Tambor E100736 entity
Predicate familyName P18 FINISHED
Object Tambor
Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
E446395 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: Tambor | Statement: [Jeffrey Tambor, familyName, Tambor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tambor
Context triple: [Jeffrey Tambor, familyName, Tambor]
  • A. La Banda
    La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
  • B. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • C. Bomba
    Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
  • D. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • E. Taroombal
    Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
  • 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: Tambor
Triple: [Jeffrey Tambor, familyName, Tambor]
Generated description
Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tambor
Target entity description: Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
  • A. La Banda
    La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
  • B. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • C. Bomba
    Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
  • D. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • E. Taroombal
    Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56c065e88190934eb0b1632d79bb completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67c4e7c88190b9b9cab49444b515 completed March 20, 2026, 3:29 p.m.
NEDg Description generation batch_69bd683417b08190bc4e08638a30c0ec completed March 20, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69bd68b4681c8190abb170ccb054cd05 completed March 20, 2026, 3:33 p.m.
Created at: March 20, 2026, 1 p.m.