Triple
T3561593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Felton Russell |
E75350
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Felton |
E75350
|
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: Felton | Statement: [William Felton Russell, middleName, Felton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felton Context triple: [William Felton Russell, middleName, Felton]
-
A.
Felton
chosen
Felton is the middle name of legendary American basketball player and civil rights activist William Felton Russell.
-
B.
Lucan the Butler
Lucan the Butler is a knight of the Round Table in Arthurian legend, known for his loyalty and service to King Arthur.
-
C.
Mr. Furnival
Mr. Furnival is a prominent London barrister in Anthony Trollope’s novel "Orley Farm," known for his legal skill, social ambition, and complex personal life.
-
D.
Mr. B
Mr. B is a music producer known for his work on Beyoncé’s debut solo album "Dangerously in Love."
-
E.
Mr. Skeffington
Mr. Skeffington is a 1944 drama film starring Bette Davis, known for its exploration of vanity, marriage, and personal transformation.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc08bdde88190915d2f6ddf26e00e |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bba21960819094676de7c4740fd9 |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:21 p.m.