Triple
T34689915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridey Murphy |
E890862
|
entity |
| Predicate | allegedNickname |
P90791
|
FINISHED |
| Object | Bridey |
—
|
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: Bridey | Statement: [Bridey Murphy, allegedNickname, Bridey]
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 (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_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 1, 2026, 2:05 a.m.