Triple

T16102241
Position Surface form Disambiguated ID Type / Status
Subject Faika Fuad E390649 entity
Predicate givenName P17 FINISHED
Object Faika
Faika is a feminine given name used in various Arabic-speaking and Muslim-majority cultures.
 E1194246 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: Faika | Statement: [Faika Fuad, givenName, Faika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faika
Context triple: [Faika Fuad, givenName, Faika]
  • A. Defaka
    Defaka is an endangered Ijoid language spoken by a small community in Nigeria's Niger Delta region.
  • B. Faruj
    Faruj is a small city in northeastern Iran known for its location within North Khorasan Province and its role as a local administrative and commercial center.
  • C. Ferike
    Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
  • D. Farhual
    Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
  • E. Asta
    Asta is the small wire fox terrier dog featured as the beloved pet and occasional comic relief in the classic detective film series "The Thin Man."
  • 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: Faika
Triple: [Faika Fuad, givenName, Faika]
Generated description
Faika is a feminine given name used in various Arabic-speaking and Muslim-majority cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faika
Target entity description: Faika is a feminine given name used in various Arabic-speaking and Muslim-majority cultures.
  • A. Defaka
    Defaka is an endangered Ijoid language spoken by a small community in Nigeria's Niger Delta region.
  • B. Faruj
    Faruj is a small city in northeastern Iran known for its location within North Khorasan Province and its role as a local administrative and commercial center.
  • C. Ferike
    Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
  • D. Farhual
    Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
  • E. Asta
    Asta is the small wire fox terrier dog featured as the beloved pet and occasional comic relief in the classic detective film series "The Thin Man."
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6976ec8190b499e99b196b0285 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba007c08190bf4d3cf092abc7dd completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffecb8c71481908b4913bb078b6415 completed May 10, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_69ffed469a5c8190932fa4ebc44358c4 completed May 10, 2026, 2:28 a.m.
Created at: April 10, 2026, 5 a.m.