Triple
T20593003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irene Handl |
E505977
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Sykes (TV series) |
—
|
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: Sykes (TV series) | Statement: [Irene Handl, notableWork, Sykes (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sykes (TV series) Context triple: [Irene Handl, notableWork, Sykes (TV series)]
-
A.
Sykes
Sykes is an English surname of Old Norse origin, commonly associated with families from northern England.
-
B.
Sykes
chosen
Sykes is a British television sitcom best known for starring comedian Eric Sykes in a series of domestic and comedic misadventures.
-
C.
Lewis (TV series)
Lewis (TV series) is a British detective drama and spin-off of Inspector Morse that follows Detective Inspector Robbie Lewis solving complex crimes in Oxford.
-
D.
Scarecrow and Mrs. King
Scarecrow and Mrs. King is an American 1980s television series that blends espionage and lighthearted romance, following a housewife who becomes entangled with a secret agent.
-
E.
Sossick
Sossick is a Nigerian music producer known for crafting influential hip-hop and Afrobeats tracks for prominent artists.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a97d63cc8190853e052d5930470d |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.