Triple
T34689917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridey Murphy |
E890862
|
entity |
| Predicate | broughtToPublicAttentionBy |
P81954
|
FINISHED |
| Object | Virginia Tighe |
—
|
NE NERFINISHED |
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: Virginia Tighe | Statement: [Bridey Murphy, broughtToPublicAttentionBy, Virginia Tighe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broughtToPublicAttentionBy Context triple: [Bridey Murphy, broughtToPublicAttentionBy, Virginia Tighe]
-
A.
hasInternationalAttentionFor
Indicates that an entity is receiving recognition, focus, or concern from audiences, organizations, or media beyond its own country, specifically in relation to a particular topic, event, or attribute.
-
B.
hasBeenSubjectOf
Indicates that an entity has previously been the focus or target of a particular action, process, or investigation.
-
C.
madeInternationallyFamousBy
Indicates that one entity became widely known across multiple countries as a result of the actions, influence, or association of another entity.
-
D.
gainedProminenceFor
chosen
Indicates that an entity became widely recognized or notable specifically because of another entity, action, or achievement.
-
E.
notablePersonDiscussed
Indicates that the subject entity includes or features a discussion about the referenced notable person.
- 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_69f72350dd7881908a30f0e2e230931c |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.