Triple

T13068573
Position Surface form Disambiguated ID Type / Status
Subject Nikki Haley E329393 entity
Predicate givenName P17 FINISHED
Object Nikki
Nikki is the commonly used first name of American politician and former U.S. Ambassador to the United Nations Nikki Haley.
 E329393 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: Nikki | Statement: [Nikki Haley, givenName, Nikki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nikki
Context triple: [Nikki Haley, givenName, Nikki]
  • A. Nikki
    Nikki is a seductive and ambitious burlesque performer featured as one of the central characters in the musical film "Burlesque."
  • B. Nikki
    Nikki is the estranged wife of Pat Solitano in the film "Silver Linings Playbook," whose separation from him drives much of the movie’s emotional conflict.
  • C. Nikki
    Nikki is the central protagonist of the 1993 coming-of-age sports comedy film "Airborne," known for his laid-back California surfer attitude and exceptional inline skating skills.
  • D. Nikki
    Nikki is the main character of the 1994 platform video game "Pandemonium!", known for her acrobatic abilities and whimsical, magical adventures.
  • E. Nikki
    Nikki is a town in northeastern Benin known as a historic center of the Bariba people and a traditional royal seat.
  • 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: Nikki
Triple: [Nikki Haley, givenName, Nikki]
Generated description
Nikki is the commonly used first name of American politician and former U.S. Ambassador to the United Nations Nikki Haley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nikki
Target entity description: Nikki is the commonly used first name of American politician and former U.S. Ambassador to the United Nations Nikki Haley.
  • A. Nikki chosen
    Nikki is the commonly used first name of American politician and former U.S. Ambassador to the United Nations Nikki Haley.
  • B. Nikki
    Nikki is a seductive and ambitious burlesque performer featured as one of the central characters in the musical film "Burlesque."
  • C. Nikki
    Nikki is a town in northeastern Benin known as a historic center of the Bariba people and a traditional royal seat.
  • D. Nikki
    Nikki is the estranged wife of Pat Solitano in the film "Silver Linings Playbook," whose separation from him drives much of the movie’s emotional conflict.
  • E. Nikki
    Nikki is the central protagonist of the 1993 coming-of-age sports comedy film "Airborne," known for his laid-back California surfer attitude and exceptional inline skating skills.
  • F. None of above.

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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ec8ba48190baf52c7823482680 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d603419c8190b8d1726365db59dc completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d943a80c81909bc39b9a9ef303bd completed May 3, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69f6da1e56388190b536831b2c6d493f completed May 3, 2026, 5:16 a.m.
Created at: April 9, 2026, 9 p.m.