Triple
T17142113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nina Sharp |
E415992
|
entity |
| Predicate | hasRelationshipWith |
P2830
|
FINISHED |
| Object | William Bell |
E508468
|
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: William Bell | Statement: [Nina Sharp, hasRelationshipWith, William Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Bell Context triple: [Nina Sharp, hasRelationshipWith, William Bell]
-
A.
William Bell
William Bell is an American soul singer and songwriter closely associated with the classic Memphis soul sound.
-
B.
William Bell
chosen
William Bell is a fictional scientist and co-founder of the Massive Dynamic corporation in the science-fiction TV series "Fringe."
-
C.
Douglass Wallop
Douglass Wallop was an American novelist and playwright best known for co-authoring the baseball-themed musical "Damn Yankees," adapted from his novel "The Year the Yankees Lost the Pennant."
-
D.
J. Franklin Bell
J. Franklin Bell was a U.S. Army general and Medal of Honor recipient who served as Army Chief of Staff in the early 20th century.
-
E.
Frank Wilson
Frank Wilson was an American songwriter and record producer best known for his influential work with Motown Records in the 1960s and 1970s.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d5de10819090cbd65661b018d3 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017936f1bc8190ae675097fcbda90b |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:36 a.m.