Triple

T14543804
Position Surface form Disambiguated ID Type / Status
Subject David Fifita E341237 entity
Predicate familyName P18 FINISHED
Object Fifita
Fifita is a Tongan-origin surname notably associated with several professional rugby league and union players.
 E1104993 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: Fifita | Statement: [David Fifita, familyName, Fifita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fifita
Context triple: [David Fifita, familyName, Fifita]
  • A. Tettamanzi
    Tettamanzi is an Italian surname most notably associated with Cardinal Dionigi Tettamanzi, a prominent figure in the Roman Catholic Church.
  • B. Jaibalito
    Jaibalito is a small, traditional Mayan village on the shores of Lake Atitlán in Guatemala, known for its scenic views and relative seclusion.
  • C. Toinette
    Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
  • D. Fura-Pawa
    Fura-Pawa is an alternative name for the El Molo, a small Indigenous ethnic group living along the shores of Lake Turkana in northern Kenya.
  • E. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • 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: Fifita
Triple: [David Fifita, familyName, Fifita]
Generated description
Fifita is a Tongan-origin surname notably associated with several professional rugby league and union players.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fifita
Target entity description: Fifita is a Tongan-origin surname notably associated with several professional rugby league and union players.
  • A. Tettamanzi
    Tettamanzi is an Italian surname most notably associated with Cardinal Dionigi Tettamanzi, a prominent figure in the Roman Catholic Church.
  • B. Jaibalito
    Jaibalito is a small, traditional Mayan village on the shores of Lake Atitlán in Guatemala, known for its scenic views and relative seclusion.
  • C. Toinette
    Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
  • D. Fura-Pawa
    Fura-Pawa is an alternative name for the El Molo, a small Indigenous ethnic group living along the shores of Lake Turkana in northern Kenya.
  • E. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bfc2b48190adb0897682c26a9a completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a60f2f88190b08fdf0a3095d0a7 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7d80d358819095661dac316ff69f completed May 8, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd7e0a30188190942ff45e0f865490 completed May 8, 2026, 6:09 a.m.
Created at: April 10, 2026, 1:22 a.m.