Triple

T8486020
Position Surface form Disambiguated ID Type / Status
Subject Trance E200833 entity
Predicate castMember P1668 FINISHED
Object Wahab Sheikh
Wahab Sheikh is an actor known for his role in the Indian film "Trance."
 E736140 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: Wahab Sheikh | Statement: [Trance, castMember, Wahab Sheikh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wahab Sheikh
Context triple: [Trance, castMember, Wahab Sheikh]
  • A. Shaikh Ayaz
    Shaikh Ayaz was a prominent 20th-century Sindhi poet, writer, and intellectual known for modernizing Sindhi literature and contributing to progressive literary movements in Pakistan.
  • B. Oussama Khatib
    Oussama Khatib is a prominent roboticist known for his pioneering work in robot motion planning, control, and human-robot interaction.
  • C. Abdul-Wahab al-Saadi
    Abdul-Wahab al-Saadi is a prominent Iraqi military general known for leading elite counterterrorism forces in key campaigns against ISIS.
  • D. Abdullah Ensour
    Abdullah Ensour is a Jordanian economist and politician who served as the country's prime minister in the 2010s.
  • E. Waleed al-Shehri
    Waleed al-Shehri was a Saudi national and al-Qaeda operative who participated as one of the hijackers in the September 11, 2001 terrorist attacks in the United States.
  • 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: Wahab Sheikh
Triple: [Trance, castMember, Wahab Sheikh]
Generated description
Wahab Sheikh is an actor known for his role in the Indian film "Trance."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wahab Sheikh
Target entity description: Wahab Sheikh is an actor known for his role in the Indian film "Trance."
  • A. Shaikh Ayaz
    Shaikh Ayaz was a prominent 20th-century Sindhi poet, writer, and intellectual known for modernizing Sindhi literature and contributing to progressive literary movements in Pakistan.
  • B. Oussama Khatib
    Oussama Khatib is a prominent roboticist known for his pioneering work in robot motion planning, control, and human-robot interaction.
  • C. Abdul-Wahab al-Saadi
    Abdul-Wahab al-Saadi is a prominent Iraqi military general known for leading elite counterterrorism forces in key campaigns against ISIS.
  • D. Abdullah Ensour
    Abdullah Ensour is a Jordanian economist and politician who served as the country's prime minister in the 2010s.
  • E. Waleed al-Shehri
    Waleed al-Shehri was a Saudi national and al-Qaeda operative who participated as one of the hijackers in the September 11, 2001 terrorist attacks in the United States.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53b359c81908174addcd6e12785 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a45e30c8190838ac499bbc66fbd completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3c22f3c0819084803630d438c55e completed April 2, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69ce3ca57ec081909a14d962eee2c9a5 completed April 2, 2026, 9:53 a.m.
Created at: March 30, 2026, 6:12 p.m.