Triple
T16823503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Moynihan |
E408956
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Brian Moynihan |
—
|
NE NERFINISHED |
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: Brian Moynihan | Statement: [Brian Moynihan, name, Brian Moynihan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Moynihan Context triple: [Brian Moynihan, name, Brian Moynihan]
-
A.
Brian Moynihan
chosen
Brian Moynihan is an American lawyer and businessman who serves as the longtime chairman and chief executive officer of Bank of America.
-
B.
John M. Keane
John M. Keane is a television and film composer best known for scoring crime drama series such as CSI: Vegas.
-
C.
John E. Keane
John E. Keane is a composer best known for his work on film and television scores, including the adaptation of "Wives and Daughters."
-
D.
Thomas J. Sheehan
Thomas J. Sheehan was a U.S. Army officer best known for leading the defense of Fort Ridgely during the U.S.–Dakota War of 1862.
-
E.
Tom McDonough
Tom McDonough is an editor and writer known for his work on the publication "A Gunfight."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e838e881908b650194c9b94886 |
completed | April 18, 2026, 4:35 p.m. |
Created at: April 10, 2026, 5:23 a.m.