Triple
T13439980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balance of Power |
E320332
|
entity |
| Predicate | about |
P380
|
FINISHED |
| Object | Jim Wright |
E83122
|
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: Jim Wright | Statement: [Balance of Power, about, Jim Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Wright Context triple: [Balance of Power, about, Jim Wright]
-
A.
Jim Wright
chosen
Jim Wright was an American Democratic politician from Texas who served as a powerful congressional leader and later Speaker of the U.S. House of Representatives in the 1980s.
-
B.
David Pickering
David Pickering is a British reference book editor and author known for his works on dictionaries, encyclopedias, and guides to literature, theatre, and the arts.
-
C.
Jim Leach
Jim Leach is an American Republican politician and former U.S. Representative from Iowa known for his work on financial services legislation and government ethics.
-
D.
Dan Burton
Dan Burton is an American Republican politician who served as a U.S. Representative from Indiana and was known for his strong anti-Castro stance and conservative positions.
-
E.
Bill Graves
Bill Graves is an American politician who served as the 43rd Governor of Kansas from 1995 to 2003.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee5ec488190bd0c1e990dbd2bc2 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76ba16b948190b7e753368eabf012 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:40 p.m.