Triple

T15632165
Position Surface form Disambiguated ID Type / Status
Subject Abu Rashid E375841 entity
Predicate name P16 FINISHED
Object Abu Rashid
Abu Rashid is a person whose specific identity or notable background is not clearly defined from the available information.
E375841 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: Abu Rashid | Statement: [Abu Rashid, name, Abu Rashid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abu Rashid
Context triple: [Abu Rashid, name, Abu Rashid]
  • A. Abu Rashid
    Abu Rashid is a fictional figure from Don DeLillo’s novel "Mao II," associated with Middle Eastern terrorism and political extremism.
  • B. Abu Hammad
    Abu Hammad is a city in Egypt’s Sharqia Governorate, known as a local administrative and commercial center in the eastern Nile Delta region.
  • C. Abu al-Najib
    Abu al-Najib was a prominent 12th-century Persian Sufi master and founder of the Suhrawardiyya Sufi order.
  • D. Abu Nasir
    Abu Nasir was the personal name of Mu'in ud-din Muhammad Akbar Shah II, a Mughal emperor who ruled parts of India in the early 19th century under growing British influence.
  • E. Abu’l-Faraj
    Abu’l-Faraj is the honorific name (kunya) of the prominent 12th-century Hanbali scholar, preacher, and historian Ibn al-Jawzi of Baghdad.
  • 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: Abu Rashid
Triple: [Abu Rashid, name, Abu Rashid]
Generated description
Abu Rashid is a person whose specific identity or notable background is not clearly defined from the available information.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Abu Rashid
Target entity description: Abu Rashid is a person whose specific identity or notable background is not clearly defined from the available information.
  • A. Abu Rashid chosen
    Abu Rashid is a fictional figure from Don DeLillo’s novel "Mao II," associated with Middle Eastern terrorism and political extremism.
  • B. Abu Hammad
    Abu Hammad is a city in Egypt’s Sharqia Governorate, known as a local administrative and commercial center in the eastern Nile Delta region.
  • C. Abu al-Najib
    Abu al-Najib was a prominent 12th-century Persian Sufi master and founder of the Suhrawardiyya Sufi order.
  • D. Abu Nasir
    Abu Nasir was the personal name of Mu'in ud-din Muhammad Akbar Shah II, a Mughal emperor who ruled parts of India in the early 19th century under growing British influence.
  • E. Abu’l-Faraj
    Abu’l-Faraj is the honorific name (kunya) of the prominent 12th-century Hanbali scholar, preacher, and historian Ibn al-Jawzi of Baghdad.
  • F. None of above.

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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb7338881909f3c430bb73f91d1 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f472b648190b7cd532a1b16373e completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff606f627081909e6ea230f30c917b completed May 9, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69ff6136a8c88190a83ad9232a338082 completed May 9, 2026, 4:30 p.m.
Created at: April 10, 2026, 4:14 a.m.