Triple
T22427314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Clark |
E554405
|
entity |
| Predicate | businessPartner |
P282
|
FINISHED |
| Object | Joe MacMillan |
—
|
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: Joe MacMillan | Statement: [Gordon Clark, businessPartner, Joe MacMillan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe MacMillan Context triple: [Gordon Clark, businessPartner, Joe MacMillan]
-
A.
Joe MacMillan
chosen
Joe MacMillan is a charismatic, ambitious, and often morally ambiguous tech visionary who drives much of the drama and innovation in the television series "Halt and Catch Fire."
-
B.
Donald MacBride
Donald MacBride was an American character actor known for his gruff, comedic portrayals in numerous stage and Hollywood films during the 1930s and 1940s.
-
C.
Don MacMillan
Don MacMillan was a Canadian middle-distance runner known for his competitive performances in the 1950s, including appearances in high-profile mile races.
-
D.
John McLiam
John McLiam was an Irish-born American character actor known for his supporting roles in numerous films and television series from the 1950s through the 1980s.
-
E.
Mac McNeilly
Mac McNeilly is an American drummer best known for his powerful, driving work with the influential noise rock band The Jesus Lizard.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2e438481908d43026727afa709 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.