Triple

T3282104
Position Surface form Disambiguated ID Type / Status
Subject Falling Man E68894 entity
Predicate hasCharacter P2308 FINISHED
Object Hammad
Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
 E345173 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: Hammad | Statement: [Falling Man, hasCharacter, Hammad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hammad
Context triple: [Falling Man, hasCharacter, Hammad]
  • A. Umara
    Umara is the plural form of the Arabic name or title "Amir," commonly used to refer to multiple rulers or princes.
  • B. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • C. Al-Hareeq
    Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
  • D. Hamza
    Hamza is a masculine given name of Arabic origin, commonly used in the Muslim world and among Arabic-speaking communities.
  • E. Ishaq
    Ishaq is the Arabic form of the biblical name Isaac, commonly used in Muslim and Arabic-speaking communities.
  • 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: Hammad
Triple: [Falling Man, hasCharacter, Hammad]
Generated description
Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hammad
Target entity description: Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
  • A. Umara
    Umara is the plural form of the Arabic name or title "Amir," commonly used to refer to multiple rulers or princes.
  • B. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • C. Al-Hareeq
    Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
  • D. Hamza
    Hamza is a masculine given name of Arabic origin, commonly used in the Muslim world and among Arabic-speaking communities.
  • E. Ishaq
    Ishaq is the Arabic form of the biblical name Isaac, commonly used in Muslim and Arabic-speaking communities.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0345d448190a1f936abe7748e33 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85528c88190b1e98c680baf3fa8 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2ec48bf888190a5eeac0aa2cc50c3 completed March 12, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecd134e88190933e52d7f1f5be2a completed March 12, 2026, 4:41 p.m.
Created at: March 8, 2026, 3:10 p.m.