Triple

T971625
Position Surface form Disambiguated ID Type / Status
Subject Sybill Trelawney E20956 entity
Predicate givenName P17 FINISHED
Object Sybill
Sybill is the first name of Sybill Trelawney, the eccentric Divination professor and seer in the Harry Potter series.
E116969 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: Sybill | Statement: [Sybill Trelawney, givenName, Sybill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sybill
Context triple: [Sybill Trelawney, givenName, Sybill]
  • A. Sibyl
    Sibyl is a prophetic figure from ancient Greco-Roman tradition, typically depicted as a woman endowed with divine insight and the power of inspired oracles.
  • B. Haggith
    Haggith is a lesser-known wife of King David in the Hebrew Bible and the mother of his son Adonijah.
  • C. Milbanke
    Milbanke is an English aristocratic family name historically associated with the wife of poet Lord Byron, Annabella Milbanke.
  • D. Cassandra Trelawney
    Cassandra Trelawney is a witch in the Harry Potter universe known as the gifted Seer ancestor of Professor Sybill Trelawney.
  • E. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • 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: Sybill
Triple: [Sybill Trelawney, givenName, Sybill]
Generated description
Sybill is the first name of Sybill Trelawney, the eccentric Divination professor and seer in the Harry Potter series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sybill
Target entity description: Sybill is the first name of Sybill Trelawney, the eccentric Divination professor and seer in the Harry Potter series.
  • A. Sibyl
    Sibyl is a prophetic figure from ancient Greco-Roman tradition, typically depicted as a woman endowed with divine insight and the power of inspired oracles.
  • B. Haggith
    Haggith is a lesser-known wife of King David in the Hebrew Bible and the mother of his son Adonijah.
  • C. Milbanke
    Milbanke is an English aristocratic family name historically associated with the wife of poet Lord Byron, Annabella Milbanke.
  • D. Cassandra Trelawney
    Cassandra Trelawney is a witch in the Harry Potter universe known as the gifted Seer ancestor of Professor Sybill Trelawney.
  • E. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b44aa6088190a90c44a8f694ec41 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2586fd7c8190ba77b327bad4bb69 completed March 7, 2026, 1:17 p.m.
NEDg Description generation batch_69ac265d40848190a86d56c132ec2a03 completed March 7, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_69ac26f947d481908ab1b7115cf9dee7 completed March 7, 2026, 1:24 p.m.
Created at: March 1, 2026, 7:40 p.m.