Triple

T5742188
Position Surface form Disambiguated ID Type / Status
Subject Tracey Ullman E126641 entity
Predicate familyName P18 FINISHED
Object Ullman
Ullman is a surname most prominently associated with British-American actress, comedian, and singer Tracey Ullman.
 E543155 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: Ullman | Statement: [Tracey Ullman, familyName, Ullman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ullman
Context triple: [Tracey Ullman, familyName, Ullman]
  • A. Tanenbaum
    Tanenbaum is the surname of Andrew S. Tanenbaum, a prominent computer scientist known for his influential work on operating systems and computer networks.
  • B. Abelson
    Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
  • C. Blum
    Blum is a surname of German and Jewish origin borne by various notable individuals across fields such as mathematics, politics, and the arts.
  • D. Millner
    Millner is an English occupational surname historically associated with people who made or sold hats or millinery goods.
  • E. Shulman
    Shulman is a surname of Jewish origin borne by various notable individuals in fields such as literature, academia, and the arts.
  • 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: Ullman
Triple: [Tracey Ullman, familyName, Ullman]
Generated description
Ullman is a surname most prominently associated with British-American actress, comedian, and singer Tracey Ullman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ullman
Target entity description: Ullman is a surname most prominently associated with British-American actress, comedian, and singer Tracey Ullman.
  • A. Tanenbaum
    Tanenbaum is the surname of Andrew S. Tanenbaum, a prominent computer scientist known for his influential work on operating systems and computer networks.
  • B. Abelson
    Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
  • C. Blum
    Blum is a surname of German and Jewish origin borne by various notable individuals across fields such as mathematics, politics, and the arts.
  • D. Millner
    Millner is an English occupational surname historically associated with people who made or sold hats or millinery goods.
  • E. Shulman
    Shulman is a surname of Jewish origin borne by various notable individuals in fields such as literature, academia, and the arts.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025852a2c819080521e5b98c00bdc completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e1bfe4481908740aa20d55ec8f6 completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08a2bc1b08190998a7e5eb8d6d6ac completed March 23, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69c08a85b508819088464b97b6c9bb99 completed March 23, 2026, 12:34 a.m.
Created at: March 22, 2026, 3:48 p.m.