Triple
T23188401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanette Newman |
E579660
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Sweeney |
—
|
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: The Sweeney | Statement: [Nanette Newman, notableWork, The Sweeney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Sweeney Context triple: [Nanette Newman, notableWork, The Sweeney]
-
A.
The Sweeney
chosen
The Sweeney is a 1970s British television crime drama series following the tough, unorthodox methods of London’s Flying Squad police unit.
-
B.
Sweeney Erect
"Sweeney Erect" is a modernist poem by T. S. Eliot that portrays the sordid, fragmented inner and outer life of its crude titular character through vivid, disjointed imagery and allusion.
-
C.
Sweeney Astray
Sweeney Astray is Seamus Heaney’s acclaimed verse translation of the medieval Irish tale Buile Shuibhne, recounting the mad, exiled wanderings of King Sweeney.
-
D.
Sweeney
Sweeney is a surname of Irish and Scottish origin borne by various notable individuals in entertainment, sports, and public life.
-
E.
Sweeney’s
Sweeney’s is a settlement in the Northern District of Montserrat in the Caribbean island nation of Montserrat.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd592248190a7e705c554885cd1 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.