Triple
T4420079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fargo |
E95075
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | William H. Macy |
E349818
|
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 H. Macy | Statement: [Fargo, leadActor, William H. Macy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William H. Macy Context triple: [Fargo, leadActor, William H. Macy]
-
A.
William H. Macy
chosen
William H. Macy is an American actor and director known for his character roles in films like "Fargo" and the TV series "Shameless."
-
B.
Steve Buscemi
Steve Buscemi is an American actor and filmmaker known for his distinctive looks and acclaimed performances in independent films and major productions such as "Fargo," "Reservoir Dogs," and "Boardwalk Empire."
-
C.
Thomas Haden Church
Thomas Haden Church is an American actor known for roles in the TV series "Wings" and films such as "Sideways" and "Spider-Man 3."
-
D.
Tim Healy
Tim Healy was an Irish nationalist politician, lawyer, and writer who became the first Governor-General of the Irish Free State.
-
E.
Joel Murray
Joel Murray is an American actor and comedian known for his character roles in film and television, as well as for his voice work in animated projects.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551fae7c8190abafda0d78f02d89 |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f623c958819087630c16b6ac8cb8 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:29 p.m.