Triple

T4329451
Position Surface form Disambiguated ID Type / Status
Subject Eugene Fama E96712 entity
Predicate familyName P18 FINISHED
Object Fama
Fama is the surname of Eugene Fama, a Nobel Prize–winning American economist renowned for his work on efficient markets and asset pricing.
 E431727 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: Fama | Statement: [Eugene Fama, familyName, Fama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fama
Context triple: [Eugene Fama, familyName, Fama]
  • A. Famo
    Famo is a traditional Basotho music genre known for its accordion-driven melodies, poetic lyrics, and strong cultural and social commentary in Lesotho and surrounding regions.
  • B. Tobin
    Tobin is the given name of Tobin Heath, an American professional soccer player and multiple-time FIFA Women's World Cup champion.
  • C. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • D. Goldsman
    Goldsman is the surname of Akiva Goldsman, an American screenwriter, director, and producer known for films such as "A Beautiful Mind."
  • E. Blackrock
    Blackrock is a suburban residential area of Cork city in County Cork, Ireland, known for its riverside location along the River Lee and historic maritime and industrial heritage.
  • 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: Fama
Triple: [Eugene Fama, familyName, Fama]
Generated description
Fama is the surname of Eugene Fama, a Nobel Prize–winning American economist renowned for his work on efficient markets and asset pricing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fama
Target entity description: Fama is the surname of Eugene Fama, a Nobel Prize–winning American economist renowned for his work on efficient markets and asset pricing.
  • A. Famo
    Famo is a traditional Basotho music genre known for its accordion-driven melodies, poetic lyrics, and strong cultural and social commentary in Lesotho and surrounding regions.
  • B. Tobin
    Tobin is the given name of Tobin Heath, an American professional soccer player and multiple-time FIFA Women's World Cup champion.
  • C. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • D. Goldsman
    Goldsman is the surname of Akiva Goldsman, an American screenwriter, director, and producer known for films such as "A Beautiful Mind."
  • E. Blackrock
    Blackrock is a suburban residential area of Cork city in County Cork, Ireland, known for its riverside location along the River Lee and historic maritime and industrial heritage.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3513545fc81909e29de7eae1829f7 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09bf304819084fc1b9162c8b48a completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d48a56f881909cc75f45d87c8151 completed March 14, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69b5d4f99ff08190957b46cd84954f79 completed March 14, 2026, 9:36 p.m.
Created at: March 12, 2026, 11:13 p.m.