Triple
T20895237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Haywood |
E514514
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | All Saints |
—
|
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: All Saints | Statement: [Chris Haywood, notableWork, All Saints]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All Saints Context triple: [Chris Haywood, notableWork, All Saints]
-
A.
All Saints
All Saints is a Christian feast and collective title honoring all known and unknown saints of the Church.
-
B.
All Saints
All Saints are a British-Canadian girl group known for their smooth harmonies and late-1990s/early-2000s pop and R&B hits.
-
C.
All Saints
chosen
All Saints is an Australian medical drama television series that follows the professional and personal lives of staff at the fictional All Saints Western General Hospital.
-
D.
All Saints
All Saints is a prominent inland town on the Caribbean island nation of Antigua and Barbuda, known as one of its largest population centers.
-
E.
All Saints
All Saints is a Docklands Light Railway station in East London serving the Poplar area.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d06233588190942493b709e30820 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 12:47 p.m.