Triple

T15674676
Position Surface form Disambiguated ID Type / Status
Subject Vanessa Angel E377408 entity
Predicate familyName P18 FINISHED
Object Angel
Angel is a common English surname borne by various notable individuals across entertainment, sports, and other fields.
 E740081 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: Angel | Statement: [Vanessa Angel, familyName, Angel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Angel
Context triple: [Vanessa Angel, familyName, Angel]
  • A. Angel
    Angel is an American supernatural drama television series set in the Buffy the Vampire Slayer universe, following a vampire with a soul seeking redemption in Los Angeles.
  • B. Angel
    An angel is a spiritual being found in various religious traditions, typically depicted as a messenger or servant of the divine.
  • C. Angel
    Angel is a winged mutant warrior in the X-Men universe, often depicted with metallic feathered wings and a conflicted, tormented nature.
  • D. Angel
    Angel is a fictional character who is part of the Whole Sick Crew in Thomas Pynchon's novel "V."
  • E. Angel
    Angel is a groundbreaking gourmand women’s perfume by Thierry Mugler, renowned for its sweet, candy-like scent profile and iconic star-shaped bottle.
  • 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: Angel
Triple: [Vanessa Angel, familyName, Angel]
Generated description
Angel is a common English surname borne by various notable individuals across entertainment, sports, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Angel
Target entity description: Angel is a common English surname borne by various notable individuals across entertainment, sports, and other fields.
  • A. Angel chosen
    Angel is a surname of English origin borne by various notable individuals across fields such as acting, science, and sports.
  • B. Angel
    Angel is a given name used across various cultures, often associated with spiritual or celestial connotations.
  • C. Angel
    An angel is a spiritual being found in various religious traditions, typically depicted as a messenger or servant of the divine.
  • D. Angel
    Angel is a winged mutant warrior in the X-Men universe, often depicted with metallic feathered wings and a conflicted, tormented nature.
  • E. Angel
    Angel is a vibrant district in central London known for its bustling high street, cultural venues, and lively dining and nightlife scene.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6edd85148190b6d5c3981204dd77 completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff6fd9c968819098b2552a9deb0445 completed May 9, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff708d42448190a53b90e00721eaa5 completed May 9, 2026, 5:36 p.m.
Created at: April 10, 2026, 4:16 a.m.