Triple

T16614563
Position Surface form Disambiguated ID Type / Status
Subject Cherry Vann E403661 entity
Predicate givenName P17 FINISHED
Object Cherry
Cherry is a feminine given name used in English-speaking countries, often associated with the fruit and connoting sweetness or freshness.
E1223614 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: Cherry | Statement: [Cherry Vann, givenName, Cherry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cherry
Context triple: [Cherry Vann, givenName, Cherry]
  • A. Cherry
    Cherry is a film featuring actor Forrest Goodluck in a significant role.
  • B. Cherry
    Cherry is a common English surname borne by various individuals, including American actor Jake Cherry.
  • C. Cherry
    Cherry is a song by the electronic rock duo Ratatat, known for its melodic guitar lines and atmospheric, instrumental style.
  • D. Cherry
    Cherry is a character in George Farquhar's Restoration comedy "The Beaux' Stratagem," known as the innkeeper's clever and spirited daughter.
  • E. Cherry
    Cherry is the former surname of Chinese politician Deng Wenge, better known as Bo Xilai.
  • 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: Cherry
Triple: [Cherry Vann, givenName, Cherry]
Generated description
Cherry is a feminine given name used in English-speaking countries, often associated with the fruit and connoting sweetness or freshness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cherry
Target entity description: Cherry is a feminine given name used in English-speaking countries, often associated with the fruit and connoting sweetness or freshness.
  • A. Cherry
    Cherry is a common English surname borne by various individuals, including American actor Jake Cherry.
  • B. Cherry
    Cherry is a song by the electronic rock duo Ratatat, known for its melodic guitar lines and atmospheric, instrumental style.
  • C. Cherry
    Cherry is a character in George Farquhar's Restoration comedy "The Beaux' Stratagem," known as the innkeeper's clever and spirited daughter.
  • D. Cherry
    Cherry is a film featuring actor Forrest Goodluck in a significant role.
  • E. Cherry
    Cherry is the former surname of Chinese politician Deng Wenge, better known as Bo Xilai.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3609935a88190baa56f3a42b2ecd1 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075aeaa9881908bdef0f9f2b52e60 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a007705f57881908b07a20ae8957c64 completed May 10, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_6a007b18f0b08190a9ddc6ad7358d6b8 completed May 10, 2026, 12:33 p.m.
Created at: April 10, 2026, 5:17 a.m.