Triple

T8545935
Position Surface form Disambiguated ID Type / Status
Subject Eva Gabor E202324 entity
Predicate familyName P18 FINISHED
Object Gabor
Gabor is a Hungarian surname most famously associated with the entertainment family that includes actresses Eva and Zsa Zsa Gabor.
 E741308 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: Gabor | Statement: [Eva Gabor, familyName, Gabor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gabor
Context triple: [Eva Gabor, familyName, Gabor]
  • A. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • B. Burrus
    Burrus is a variant form of the name Burr, used as a personal or family name.
  • C. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • D. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • E. Gunter
    Gunter is a flamboyant, energetic pig who serves as one of the standout comedic performers in the animated musical film "Sing 2."
  • 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: Gabor
Triple: [Eva Gabor, familyName, Gabor]
Generated description
Gabor is a Hungarian surname most famously associated with the entertainment family that includes actresses Eva and Zsa Zsa Gabor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gabor
Target entity description: Gabor is a Hungarian surname most famously associated with the entertainment family that includes actresses Eva and Zsa Zsa Gabor.
  • A. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • B. Burrus
    Burrus is a variant form of the name Burr, used as a personal or family name.
  • C. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • D. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • E. Gunter
    Gunter is a flamboyant, energetic pig who serves as one of the standout comedic performers in the animated musical film "Sing 2."
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe74f62148190bfd6cacf5d4f74b6 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6db3eef08190934f5b42807ad769 completed April 2, 2026, 1:23 p.m.
NEDg Description generation batch_69ce6ec3b080819082d64646d453541d completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fe928d48190824e7a94fea5cfc0 completed April 2, 2026, 1:32 p.m.
Created at: March 30, 2026, 6:18 p.m.