Triple
T34689950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridey Murphy |
E890862
|
entity |
| Predicate | allegedLifeEventsDescribedIn |
P115640
|
FINISHED |
| Object | hypnotic regression sessions |
—
|
LITERAL FINISHED |
How this triple was built (2 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: hypnotic regression sessions | Statement: [Bridey Murphy, allegedLifeEventsDescribedIn, hypnotic regression sessions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedLifeEventsDescribedIn Context triple: [Bridey Murphy, allegedLifeEventsDescribedIn, hypnotic regression sessions]
-
A.
basedOnEventsDescribedIn
Indicates that something is derived from, inspired by, or constructed using the events described in another source.
-
B.
settingOfLifeEvents
Indicates the location or environment in which significant life events of an entity take place.
-
C.
notableEventInLife
Indicates that a particular event holds significant importance or impact within an entity’s life or personal history.
-
D.
historicalEventsDescribed
chosen
Indicates that one entity (such as a document, text, or account) describes or recounts the historical events associated with another entity.
-
E.
historicalEventDescribedAs
Indicates that a historical event is characterized or portrayed using a particular description, label, or narrative.
- F. None of above.
Provenance (3 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_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 1, 2026, 2:05 a.m.