Triple

T34689915
Position Surface form Disambiguated ID Type / Status
Subject Bridey Murphy E890862 entity
Predicate allegedNickname P90791 FINISHED
Object Bridey
Bridey is the purported past-life persona at the center of the famous 1950s "Bridey Murphy" reincarnation case.
E2108708 NE FINISHED

How this triple was built (3 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: Bridey | Statement: [Bridey Murphy, allegedNickname, Bridey]
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: Bridey
Triple: [Bridey Murphy, allegedNickname, Bridey]
Generated description
Bridey is the purported past-life persona at the center of the famous 1950s "Bridey Murphy" reincarnation case.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allegedNickname
Context triple: [Bridey Murphy, allegedNickname, Bridey]
  • A. usesNicknameOf
    Indicates that one entity refers to another entity by a nickname derived from or associated with that other entity’s name.
  • B. isOfficialNicknameOf
    Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
  • C. unofficialNickname chosen
    Indicates that one entity is informally or colloquially known by a non-official nickname represented by the other entity.
  • D. usesNicknameIn
    Indicates that one entity refers to another entity by a specific nickname within a particular context or setting.
  • E. propNickname
    Indicates that one entity is used as a nickname or informal alternative name for another entity.
  • F. None of above.

Provenance (6 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_69f349db7ab8819086808e833f472871 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3752f8a34c8190a4790585c7eae03a completed June 21, 2026, 2:56 a.m.
NEDg Description generation batch_6a37546c6edc8190bc5e80caf7bd7705 completed June 21, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_6a3755525b3081909a941c144c63d56b completed June 21, 2026, 3:06 a.m.
PD Predicate disambiguation batch_69f7cf769338819092a5f42653dcc956 completed May 3, 2026, 10:43 p.m.
Created at: May 1, 2026, 2:05 a.m.