Triple
T4041850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Lane |
E83968
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kenneth Lane |
E83968
|
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: Kenneth Lane | Statement: [Kenneth Lane, name, Kenneth Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenneth Lane Context triple: [Kenneth Lane, name, Kenneth Lane]
-
A.
Kenneth Lane
chosen
Kenneth Lane is an American jewelry designer renowned for his bold, glamorous costume jewelry favored by celebrities and socialites.
-
B.
James Laxton
James Laxton is an American cinematographer best known for his acclaimed, visually distinctive work on the Oscar-winning film "Moonlight."
-
C.
Richard Lane
Richard Lane was a co-founder of the British publishing house Penguin Books, which became famous for pioneering affordable, high-quality paperback editions.
-
D.
Adrian Biddle
Adrian Biddle was a British cinematographer known for his visually striking work on films such as "Aliens," "Thelma & Louise," and "The Mummy."
-
E.
Maurice Lindey
Maurice Lindey is a fictional protagonist in Alexandre Dumas’s historical novel "The Knight of Maison-Rouge," depicted as a passionate young man entangled in royalist plots during the French Revolution.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb3a9314819095dcf47675eedb48 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5564d0fb881909ba645714be27b95 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.