Triple
T19159943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Declan Rice |
E469025
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Declan |
—
|
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: Declan | Statement: [Declan Rice, givenName, Declan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Declan Context triple: [Declan Rice, givenName, Declan]
-
A.
Declan
chosen
Declan is a masculine given name of Irish origin, traditionally meaning "full of goodness" or "man of prayer."
-
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.
Jacob Devlin
Jacob Devlin is a computer scientist and AI researcher best known as the lead author of the BERT language model, which significantly advanced natural language processing.
-
D.
Declan Quinn
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.
-
E.
Declan O’Brien
Declan O’Brien was an American film director and screenwriter best known for his work on low-budget horror and science fiction movies, including several entries in the "Wrong Turn" franchise.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eebc52dc819085666dbbeea365a6 |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.