Triple
T5513759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric the Viking |
E144630
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | John Hackney |
E417878
|
NE 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: John Hackney | Statement: [Eric the Viking, editedBy, John Hackney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Hackney Context triple: [Eric the Viking, editedBy, John Hackney]
-
A.
John Hackney
chosen
John Hackney is a film editor best known for his work on the British comedy classic "Monty Python and the Holy Grail."
-
B.
John Hadden
John Hadden is a theater artist and director best known as a co-founder of the Shakespeare & Company theater troupe.
-
C.
Phil Weston
Phil Weston is the neurotic, well-meaning dad who becomes an overzealous youth soccer coach in the family sports comedy film "Kicking & Screaming."
-
D.
John Hoyland
John Hoyland was a prominent British abstract painter known for his bold use of color and large-scale, non-figurative works.
-
E.
Alan Hartley
Alan Hartley was a senior British Army officer who served as a prominent commander in British India during the era of the British Raj.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f599d0881909ce86fcc45d4d920 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027d192808190b1e80a6f3be44870 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:33 p.m.