Triple

T1249170
Position Surface form Disambiguated ID Type / Status
Subject Michael Green E26834 entity
Predicate familyName P18 FINISHED
Object Green
Green is a common English surname of Anglo-Saxon origin, typically derived from a descriptive nickname related to the color green or someone who lived near a village green.
E141909 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: Green | Statement: [Michael Green, familyName, Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green
Context triple: [Michael Green, familyName, Green]
  • A. Groen
    Groen is a Flemish green political party in Belgium known for its progressive stance on environmental and social issues.
  • B. Green, Green
    "Green, Green" is a 1963 folk song by The New Christy Minstrels that became one of their best-known hits and a staple of the American folk revival era.
  • C. Greens
    The Greens were one of the major chariot racing factions in ancient Rome, known for their passionate supporters and fierce rivalry with other teams such as the Blues.
  • D. Eco
    Eco is the proposed common currency intended to be adopted by member states of the Economic Community of West African States (ECOWAS) to facilitate regional economic integration.
  • E. Orange
    Orange is a regional city in the Central Tablelands of New South Wales, Australia, known for its cool-climate wines, agriculture, and growing tourism industry.
  • 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: Green
Triple: [Michael Green, familyName, Green]
Generated description
Green is a common English surname of Anglo-Saxon origin, typically derived from a descriptive nickname related to the color green or someone who lived near a village green.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Green
Target entity description: Green is a common English surname of Anglo-Saxon origin, typically derived from a descriptive nickname related to the color green or someone who lived near a village green.
  • A. Groen
    Groen is a Flemish green political party in Belgium known for its progressive stance on environmental and social issues.
  • B. Green, Green
    "Green, Green" is a 1963 folk song by The New Christy Minstrels that became one of their best-known hits and a staple of the American folk revival era.
  • C. Greens
    The Greens were one of the major chariot racing factions in ancient Rome, known for their passionate supporters and fierce rivalry with other teams such as the Blues.
  • D. Eco
    Eco is the proposed common currency intended to be adopted by member states of the Economic Community of West African States (ECOWAS) to facilitate regional economic integration.
  • E. Orange
    Orange is a major French multinational telecommunications company providing mobile, internet, and other digital services across numerous countries.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf83b32c81908648e5748b897247 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7f59148190a9f1cbd4af8a115e completed March 7, 2026, 8:50 p.m.
NEDg Description generation batch_69ac8ff7ae0c81908ca8ace1f4159383 completed March 7, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69ac905e121c819093c9d960b53a45b7 completed March 7, 2026, 8:53 p.m.
Created at: March 1, 2026, 7:47 p.m.