Triple

T8441731
Position Surface form Disambiguated ID Type / Status
Subject Peter Chernin E199364 entity
Predicate familyName P18 FINISHED
Object Chernin
Chernin is a surname most prominently associated with American media executive and producer Peter Chernin.
 E734404 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: Chernin | Statement: [Peter Chernin, familyName, Chernin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chernin
Context triple: [Peter Chernin, familyName, Chernin]
  • A. Tschira
    Tschira is a German surname most notably associated with Klaus Tschira, a co-founder of the software company SAP and a prominent philanthropist in science and education.
  • B. Chenault
    Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
  • C. Chaloub
    Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
  • D. Chotiner
    Chotiner is a surname most notably associated with Murray Chotiner, an American political strategist and key adviser to Richard Nixon.
  • E. Koyra Chiini
    Koyra Chiini is a Songhay language variety spoken primarily in and around Timbuktu in Mali.
  • 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: Chernin
Triple: [Peter Chernin, familyName, Chernin]
Generated description
Chernin is a surname most prominently associated with American media executive and producer Peter Chernin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chernin
Target entity description: Chernin is a surname most prominently associated with American media executive and producer Peter Chernin.
  • A. Tschira
    Tschira is a German surname most notably associated with Klaus Tschira, a co-founder of the software company SAP and a prominent philanthropist in science and education.
  • B. Chenault
    Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
  • C. Chaloub
    Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
  • D. Chotiner
    Chotiner is a surname most notably associated with Murray Chotiner, an American political strategist and key adviser to Richard Nixon.
  • E. Koyra Chiini
    Koyra Chiini is a Songhay language variety spoken primarily in and around Timbuktu in Mali.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe30fba4081908bfdef3faf5baceb completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1da3a99481909c9beae665bb5b83 completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1fdb77248190aa7d9f2c39446e62 completed April 2, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69ce207100548190b80fc1ca6d5b4cda completed April 2, 2026, 7:53 a.m.
Created at: March 30, 2026, 6:08 p.m.