Triple
T33273886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banished: Surviving My Years in the Westboro Baptist Church |
E851851
|
entity |
| Predicate | coWriterProfession |
P162199
|
FINISHED |
| Object | journalist |
—
|
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: journalist | Statement: [Banished: Surviving My Years in the Westboro Baptist Church, coWriterProfession, journalist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coWriterProfession Context triple: [Banished: Surviving My Years in the Westboro Baptist Church, coWriterProfession, journalist]
-
A.
employedWriter
Indicates that a writer is formally employed by a person, organization, or entity to perform writing-related work.
-
B.
coAuthorOccupation
chosen
Indicates that two or more co-authors share the same or closely related professional occupation.
-
C.
coWriterBackground
Indicates that two or more writers share a common background or context relevant to their collaborative writing.
-
D.
creatorOccupation
Indicates the professional role or job that the creator of an entity holds or held.
-
E.
writingPartner
Indicates a collaborative relationship in which two or more entities work together as co-authors or co-writers on written material.
- 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_69f349653da08190819876015a298fdb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:32 a.m.