Triple
T19069640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blazes |
E466758
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Hugh Boylan |
—
|
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: Hugh Boylan | Statement: [Blazes, fullName, Hugh Boylan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Boylan Context triple: [Blazes, fullName, Hugh Boylan]
-
A.
Hugh Boylan
chosen
Hugh Boylan, better known as Blazes Boylan, is a charismatic and flirtatious advertising agent in James Joyce’s novel "Ulysses," notable for his affair with Molly Bloom.
-
B.
Gerard Horan
Gerard Horan is a British actor known for his work in television, film, and theatre, often appearing in UK dramas and comedies.
-
C.
David Nelligan
David Nelligan was the father of renowned French-Canadian poet Émile Nelligan and a key figure in the poet’s family background.
-
D.
Patrick Gleeson
Patrick Gleeson is an American electronic music composer and synthesizer pioneer known for his film scores and collaborations in jazz and experimental music.
-
E.
Michael Dinneen
Michael Dinneen is a computer scientist known for his work in algorithms, combinatorics, and theoretical computer science.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19caa708190876a2cb06aa0c9cc |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:03 p.m.