Triple

T18287357
Position Surface form Disambiguated ID Type / Status
Subject Faisal E438016 entity
Predicate hasDiminutive P456 FINISHED
Object Fais
Fais is a short, familiar form of the given name Faisal, commonly used as a nickname.
 E1317264 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: Fais | Statement: [Faisal, hasDiminutive, Fais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fais
Context triple: [Faisal, hasDiminutive, Fais]
  • A. Faie
    Faie is a small traditional village on the island of Huahine in French Polynesia, known for its scenic bay and ancient fish traps.
  • B. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • C. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • D. Marlais
    Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
  • E. Maasin
    Maasin is a coastal city in the Philippines that serves as the administrative, economic, and religious center of the province of Southern Leyte.
  • 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: Fais
Triple: [Faisal, hasDiminutive, Fais]
Generated description
Fais is a short, familiar form of the given name Faisal, commonly used as a nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fais
Target entity description: Fais is a short, familiar form of the given name Faisal, commonly used as a nickname.
  • A. Faie
    Faie is a small traditional village on the island of Huahine in French Polynesia, known for its scenic bay and ancient fish traps.
  • B. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • C. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • D. Marlais
    Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
  • E. Maasin
    Maasin is a coastal city in the Philippines that serves as the administrative, economic, and religious center of the province of Southern Leyte.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500faf62081908f16ebee0a195ba2 completed April 19, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb542d98819084a2850c41f5f581 completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bcd697148190a847f7c9af55f8fe completed May 12, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_6a03be53e6f081908e35cd57305b26b7 completed May 12, 2026, 11:57 p.m.
Created at: April 10, 2026, 10:35 a.m.