Triple

T9160768
Position Surface form Disambiguated ID Type / Status
Subject Rafael Eitan E219814 entity
Predicate alsoKnownAs P39 FINISHED
Object Raful
Raful is the nickname of Rafael Eitan, a prominent Israeli general and politician who served as Chief of Staff of the Israel Defense Forces.
 E782622 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: Raful | Statement: [Rafael Eitan, alsoKnownAs, Raful]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raful
Context triple: [Rafael Eitan, alsoKnownAs, Raful]
  • A. Seguin
    Seguin is a small historic city in south-central Texas known for its pecan industry and preserved 19th-century architecture.
  • B. Romo
    Romo is a surname most prominently associated with former Dallas Cowboys quarterback and current NFL broadcaster Tony Romo.
  • C. Tom Moreland
    Tom Moreland is a former Georgia transportation official and highway commissioner after whom Atlanta’s major I-285/I-85 “Spaghetti Junction” interchange is named.
  • D. Anthony Calvillo
    Anthony Calvillo is a record-setting former Canadian Football League quarterback widely regarded as one of the greatest players in CFL history.
  • E. Lorenzo Semple Jr.
    Lorenzo Semple Jr. was an American screenwriter best known for his work on the 1960s Batman TV series and several high-profile films, including thrillers and action-adventures of the 1970s.
  • 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: Raful
Triple: [Rafael Eitan, alsoKnownAs, Raful]
Generated description
Raful is the nickname of Rafael Eitan, a prominent Israeli general and politician who served as Chief of Staff of the Israel Defense Forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raful
Target entity description: Raful is the nickname of Rafael Eitan, a prominent Israeli general and politician who served as Chief of Staff of the Israel Defense Forces.
  • A. Seguin
    Seguin is a small historic city in south-central Texas known for its pecan industry and preserved 19th-century architecture.
  • B. Romo
    Romo is a surname most prominently associated with former Dallas Cowboys quarterback and current NFL broadcaster Tony Romo.
  • C. Tom Moreland
    Tom Moreland is a former Georgia transportation official and highway commissioner after whom Atlanta’s major I-285/I-85 “Spaghetti Junction” interchange is named.
  • D. Anthony Calvillo
    Anthony Calvillo is a record-setting former Canadian Football League quarterback widely regarded as one of the greatest players in CFL history.
  • E. Lorenzo Semple Jr.
    Lorenzo Semple Jr. was an American screenwriter best known for his work on the 1960s Batman TV series and several high-profile films, including thrillers and action-adventures of the 1970s.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2ac0508190b2f5c801c2c26d66 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0547073cc8190999fe640c7ccd373 completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d05560d6888190b4faf3406f9ff9f2 completed April 4, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69d059161a1881909ceaaf8b0893dbea completed April 4, 2026, 12:19 a.m.
Created at: March 30, 2026, 7:21 p.m.