Triple

T8934080
Position Surface form Disambiguated ID Type / Status
Subject Zizi Roberts E212730 entity
Predicate givenName P17 FINISHED
Object Zizi
Zizi is a Liberian former professional footballer best known for playing as a striker for clubs in Europe and the United States.
 E767705 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: Zizi | Statement: [Zizi Roberts, givenName, Zizi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zizi
Context triple: [Zizi Roberts, givenName, Zizi]
  • A. Zaza
    Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
  • B. Zouzou
    Zouzou is a 1934 French musical film starring Josephine Baker, notable for being one of the first major French films to feature a Black woman in a leading role.
  • C. Zuri
    Zuri is a supporting character in the Marvel Cinematic Universe film "Black Panther," serving as a spiritual leader and advisor in Wakanda.
  • D. Zinza
    The Zinza are an ethnic group primarily inhabiting areas around Lake Victoria in northwestern Tanzania, known for their Bantu language and fishing and farming traditions.
  • E. Ziza
    Ziza is a lesser-known biblical figure mentioned in the Hebrew Bible as one of the descendants in the royal line of King Rehoboam of Judah.
  • 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: Zizi
Triple: [Zizi Roberts, givenName, Zizi]
Generated description
Zizi is a Liberian former professional footballer best known for playing as a striker for clubs in Europe and the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zizi
Target entity description: Zizi is a Liberian former professional footballer best known for playing as a striker for clubs in Europe and the United States.
  • A. Zaza
    Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
  • B. Zouzou
    Zouzou is a 1934 French musical film starring Josephine Baker, notable for being one of the first major French films to feature a Black woman in a leading role.
  • C. Zuri
    Zuri is a supporting character in the Marvel Cinematic Universe film "Black Panther," serving as a spiritual leader and advisor in Wakanda.
  • D. Zinza
    The Zinza are an ethnic group primarily inhabiting areas around Lake Victoria in northwestern Tanzania, known for their Bantu language and fishing and farming traditions.
  • E. Ziza
    Ziza is a lesser-known biblical figure mentioned in the Hebrew Bible as one of the descendants in the royal line of King Rehoboam of Judah.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668fa87c8190bfeda820368b89e4 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1ddac548190bf520321dd35de1c completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc26e039881909f623ba5b1b7f7e1 completed April 3, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69cfc350afc08190a17c61041d6d8193 completed April 3, 2026, 1:40 p.m.
Created at: March 30, 2026, 6:57 p.m.