Triple

T10441817
Position Surface form Disambiguated ID Type / Status
Subject Rachel Bay Jones E246187 entity
Predicate givenName P17 FINISHED
Object Rachel
Rachel is a feminine given name of Hebrew origin, commonly used in many English-speaking and international cultures.
 E69959 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: Rachel | Statement: [Rachel Bay Jones, givenName, Rachel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rachel
Context triple: [Rachel Bay Jones, givenName, Rachel]
  • A. Rachel
    Rachel is a prominent biblical matriarch in the Book of Genesis, known as Jacob’s beloved wife and the mother of Joseph and Benjamin.
  • B. Rachel
    Rachel is the famous bronze piggy bank sculpture and unofficial mascot of Seattle’s Pike Place Market, known for collecting donations for local social services.
  • C. Rachel
    Rachel is the given name of Rachel Carson, the influential American marine biologist and conservationist whose writings advanced the global environmental movement.
  • D. Rachel
    Rachel is a central protagonist in the science fiction television series "The Starlost," playing a key role in the story’s exploration of a generation ship and its isolated communities.
  • E. Rachel
    Rachel is a central character in Michael Ondaatje’s novel "Warlight," whose mysterious past and complex relationships drive much of the story’s intrigue and emotional tension.
  • 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: Rachel
Triple: [Rachel Bay Jones, givenName, Rachel]
Generated description
Rachel is a feminine given name of Hebrew origin, commonly used in many English-speaking and international cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rachel
Target entity description: Rachel is a feminine given name of Hebrew origin, commonly used in many English-speaking and international cultures.
  • A. Rachel chosen
    Rachel is a prominent biblical matriarch in the Book of Genesis, known as Jacob’s beloved wife and the mother of Joseph and Benjamin.
  • B. Rachel
    Rachel is the famous bronze piggy bank sculpture and unofficial mascot of Seattle’s Pike Place Market, known for collecting donations for local social services.
  • C. Rachel
    Rachel is the given name of Rachel Carson, the influential American marine biologist and conservationist whose writings advanced the global environmental movement.
  • D. Rachel
    Rachel is a central protagonist in the science fiction television series "The Starlost," playing a key role in the story’s exploration of a generation ship and its isolated communities.
  • E. Rachel
    Rachel is a central character in Michael Ondaatje’s novel "Warlight," whose mysterious past and complex relationships drive much of the story’s intrigue and emotional tension.
  • F. None of above.

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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ebf488190ae776bd65e94cb00 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc43e53081909e14cfe295d17cb2 completed April 10, 2026, 11:17 a.m.
NEDg Description generation batch_69d8e8c683608190aa4333ed38e79f53 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901c7684c8190837ed9ef0c2428af completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:15 p.m.