Triple

T9130424
Position Surface form Disambiguated ID Type / Status
Subject Mohamed Atta E219071 entity
Predicate familyName P18 FINISHED
Object Atta
Atta is a surname most widely recognized for its association with Mohamed Atta, one of the lead hijackers in the September 11, 2001 attacks.
 E778345 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: Atta | Statement: [Mohamed Atta, familyName, Atta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Atta
Context triple: [Mohamed Atta, familyName, Atta]
  • A. Atta
    Atta is a genus of New World leafcutter ants known for their complex social colonies and large-scale fungus farming using freshly cut plant material.
  • B. Ata
    Ata is a Turkish given name and honorific meaning "ancestor" or "forefather," famously associated with Mustafa Kemal Atatürk, the founder of modern Turkey.
  • C. Attah
    Attah is the surname of Ghanaian actor Abraham Attah, known for his acclaimed debut role in the film "Beasts of No Nation."
  • D. Ate
    Ate is a populous district in the eastern part of Lima, Peru, known for its mix of industrial zones, residential areas, and growing commercial activity.
  • E. Ate
    Ate is the Greek goddess of ruin, folly, and delusion, known for leading gods and mortals alike into reckless actions and disastrous consequences.
  • 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: Atta
Triple: [Mohamed Atta, familyName, Atta]
Generated description
Atta is a surname most widely recognized for its association with Mohamed Atta, one of the lead hijackers in the September 11, 2001 attacks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Atta
Target entity description: Atta is a surname most widely recognized for its association with Mohamed Atta, one of the lead hijackers in the September 11, 2001 attacks.
  • A. Atta
    Atta is a genus of New World leafcutter ants known for their complex social colonies and large-scale fungus farming using freshly cut plant material.
  • B. Ata
    Ata is a Turkish given name and honorific meaning "ancestor" or "forefather," famously associated with Mustafa Kemal Atatürk, the founder of modern Turkey.
  • C. Attah
    Attah is the surname of Ghanaian actor Abraham Attah, known for his acclaimed debut role in the film "Beasts of No Nation."
  • D. Ate
    Ate is a populous district in the eastern part of Lima, Peru, known for its mix of industrial zones, residential areas, and growing commercial activity.
  • E. Ate
    Ate is the Greek goddess of ruin, folly, and delusion, known for leading gods and mortals alike into reckless actions and disastrous consequences.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8cdafb48190be5e62b15779d771 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030aee3cc81908e883c0bc399fb96 completed April 3, 2026, 9:27 p.m.
NEDg Description generation batch_69d0318faa408190bb02838ae0dea710 completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d032451450819089949cf4c0039463 completed April 3, 2026, 9:33 p.m.
Created at: March 30, 2026, 7:18 p.m.