Triple

T13539211
Position Surface form Disambiguated ID Type / Status
Subject Ahman Green E323338 entity
Predicate givenName P17 FINISHED
Object Ahman
Ahman is the given name of former NFL running back Ahman Green, best known for his standout career with the Green Bay Packers.
 E1047944 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: Ahman | Statement: [Ahman Green, givenName, Ahman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ahman
Context triple: [Ahman Green, givenName, Ahman]
  • A. Armona
    Armona is a small unincorporated community located in California’s San Joaquin Valley.
  • B. Naab
    The Naab is a river in Bavaria, Germany, that flows through the Upper Palatinate region before joining the Danube.
  • C. Anadia
    Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
  • D. Manuchehr
    Manuchehr is a legendary king in Iranian mythology, celebrated in epic literature such as the Shahnameh as a just and heroic ruler of the early Pishdadian era.
  • E. Marw
    Marw (Merv) was an important ancient city in Khorasan, serving as a major political, military, and cultural center in early Islamic and pre-Islamic Central Asia.
  • 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: Ahman
Triple: [Ahman Green, givenName, Ahman]
Generated description
Ahman is the given name of former NFL running back Ahman Green, best known for his standout career with the Green Bay Packers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ahman
Target entity description: Ahman is the given name of former NFL running back Ahman Green, best known for his standout career with the Green Bay Packers.
  • A. Armona
    Armona is a small unincorporated community located in California’s San Joaquin Valley.
  • B. Naab
    The Naab is a river in Bavaria, Germany, that flows through the Upper Palatinate region before joining the Danube.
  • C. Anadia
    Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
  • D. Manuchehr
    Manuchehr is a legendary king in Iranian mythology, celebrated in epic literature such as the Shahnameh as a just and heroic ruler of the early Pishdadian era.
  • E. Marw
    Marw (Merv) was an important ancient city in Khorasan, serving as a major political, military, and cultural center in early Islamic and pre-Islamic Central Asia.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd7ad9481908fe1d7ffcf8fab71 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9c04b881908a359df791b89b43 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f761e020708190a21ad4c0bc11d730 completed May 3, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69f765d0f9d88190b91097a359043860 completed May 3, 2026, 3:12 p.m.
Created at: April 9, 2026, 9:45 p.m.