Triple
T20426689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne Beckett |
E501019
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Beckett |
—
|
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: Beckett | Statement: [Suzanne Beckett, familyName, Beckett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beckett Context triple: [Suzanne Beckett, familyName, Beckett]
-
A.
Beckett
chosen
Beckett is a surname most famously associated with Samuel Beckett, the Irish avant-garde novelist, playwright, and Nobel Prize–winning author of "Waiting for Godot."
-
B.
Beckett Cypher
Beckett Cypher was the son of musician Melissa Etheridge and her former partner Julie Cypher, conceived via sperm donation from singer David Crosby.
-
C.
Beckett Stokes
Beckett Stokes is known as the longtime partner of Mary Douglas Glasspool, one of the first openly lesbian bishops in the Episcopal Church.
-
D.
Beckett trilogy
The Beckett trilogy is a landmark series of three interrelated novels by Samuel Beckett that trace the dissolution of narrative, identity, and language in a stark, minimalist style.
-
E.
Butler
Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba9700481909fa23493f98095d1 |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:30 a.m.