Triple
T14778658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Len Wiseman |
E347331
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wiseman |
E769507
|
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: Wiseman | Statement: [Len Wiseman, familyName, Wiseman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiseman Context triple: [Len Wiseman, familyName, Wiseman]
-
A.
Wiseman
chosen
Wiseman is a surname most notably associated with Canadian actor Joseph Wiseman, who famously portrayed the title villain in the first James Bond film, "Dr. No."
-
B.
Wisemen
"Wisemen" is a song by British singer-songwriter James Blunt, featured on his debut studio album "Back to Bedlam."
-
C.
No-Man
No-Man is a British art-pop and ambient rock band known for its atmospheric soundscapes and emotionally introspective songwriting.
-
D.
Templeman
Templeman is an English-language surname borne by various notable individuals across fields such as music, sports, and public life.
-
E.
Wisen
Wisen is a small municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region near the border with the canton of Basel-Landschaft.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec817c39081909b08a0ffdfce9936 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cff0474819092e8447f2f13cf59 |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:31 a.m.