Triple

T8706390
Position Surface form Disambiguated ID Type / Status
Subject Angelica Schuyler Church E206662 entity
Predicate givenName P17 FINISHED
Object Angelica
Angelica is a feminine given name of Latin origin, commonly associated with the meaning "angelic" or "messenger of God."
 E752522 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: Angelica | Statement: [Angelica Schuyler Church, givenName, Angelica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Angelica
Context triple: [Angelica Schuyler Church, givenName, Angelica]
  • A. Angelica
    Angelica is a central, witty, and independent heroine in William Congreve’s Restoration comedy "Love for Love."
  • B. Angelica
    Angelica is a cunning and resourceful pirate and former love interest of Jack Sparrow who plays a central role in Pirates of the Caribbean: On Stranger Tides.
  • C. Angelica archangelica
    Angelica archangelica is a tall aromatic herb native to northern Europe and Asia, traditionally used in herbal medicine and as a flavoring in foods and liqueurs.
  • D. Angelica Rush
    Angelica Rush is the daughter of Australian actress Jane Menelaus and actor Geoffrey Rush.
  • E. Valerian
    Valerian is a space-traveling special agent and the central protagonist of the science fiction film "Valerian and the City of a Thousand Planets."
  • 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: Angelica
Triple: [Angelica Schuyler Church, givenName, Angelica]
Generated description
Angelica is a feminine given name of Latin origin, commonly associated with the meaning "angelic" or "messenger of God."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Angelica
Target entity description: Angelica is a feminine given name of Latin origin, commonly associated with the meaning "angelic" or "messenger of God."
  • A. Angelica
    Angelica is a cunning and resourceful pirate and former love interest of Jack Sparrow who plays a central role in Pirates of the Caribbean: On Stranger Tides.
  • B. Angelica
    Angelica is a central, witty, and independent heroine in William Congreve’s Restoration comedy "Love for Love."
  • C. Angelica archangelica
    Angelica archangelica is a tall aromatic herb native to northern Europe and Asia, traditionally used in herbal medicine and as a flavoring in foods and liqueurs.
  • D. Angelica Rush
    Angelica Rush is the daughter of Australian actress Jane Menelaus and actor Geoffrey Rush.
  • E. Valerian
    Valerian is a space-traveling special agent and the central protagonist of the science fiction film "Valerian and the City of a Thousand Planets."
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58fcac748190a82b57aeb7c43df9 completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28aac77c8190b4f5968643715765 completed April 3, 2026, 2:40 a.m.
NEDg Description generation batch_69cf2bcff84881908a7985fdf8189583 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2ca1ddac8190a36367e6bba8e3c8 completed April 3, 2026, 2:57 a.m.
Created at: March 30, 2026, 6:35 p.m.