Triple
T9573089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turnor |
E230973
|
entity |
| Predicate | relatedSurname |
P13741
|
FINISHED |
| Object | Turnner |
E45991
|
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: Turnner | Statement: [Turnor, relatedSurname, Turnner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turnner Context triple: [Turnor, relatedSurname, Turnner]
-
A.
Turner
chosen
Turner is a common English surname borne by numerous notable individuals across politics, arts, sports, and entertainment.
-
B.
Stephen Turner
Stephen Turner is a scientist and entrepreneur best known as the founder of Pacific Biosciences, a company pioneering advanced DNA sequencing technologies.
-
C.
Clifford-Turner
Clifford-Turner was a prominent London-based law firm that later became part of the global legal practice Clifford Chance.
-
D.
Sketch Turner
Sketch Turner is the protagonist of the 1995 Sega Genesis beat ’em up game Comix Zone, depicted as a comic book artist who is pulled into his own comic world to fight its villains.
-
E.
Tunner
Tunner is a surname most notably associated with William H. Tunner, a prominent U.S. Air Force general known for organizing major airlift operations such as the Berlin Airlift.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd998d79cc8190b94e5953915a5fa4 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc389c248190ac10adfc49a1240d |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:04 p.m.