Triple
T6161912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Getting Married |
E137461
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object | Declan Quinn |
E257838
|
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: Declan Quinn | Statement: [Rachel Getting Married, cinematography, Declan Quinn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Declan Quinn Context triple: [Rachel Getting Married, cinematography, Declan Quinn]
-
A.
Declan Quinn
chosen
Declan Quinn is an American cinematographer known for his work on independent and art-house films, including collaborations with directors like Neil Jordan and Jim Jarmusch.
-
B.
Declan Ryan
Declan Ryan is an Irish businessman known for his involvement in the aviation industry and as a son of Ryanair co-founder Tony Ryan.
-
C.
Declan Gaffney
Declan Gaffney is a music producer and engineer best known for his extensive work with U2 on several of their studio albums.
-
D.
Declan Hartnett
Declan Hartnett is a notable individual recognized for achievements significant enough to be recorded under the surname Hartnett.
-
E.
Declan Walsh
Declan Walsh is an Irish journalist known for his international reporting, particularly as a foreign correspondent covering political and social issues in regions such as Pakistan and the Middle East.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d371484819090c18b62b095b49e |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518ee96c48190afe3f42477f38856 |
completed | March 26, 2026, 11:30 a.m. |
Created at: March 22, 2026, 4:17 p.m.