Triple
T1651549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Dunleavy Sr. |
E35702
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Mike Dunleavy Jr. |
E35702
|
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: Mike Dunleavy Jr. | Statement: [Mike Dunleavy Sr., relative, Mike Dunleavy Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Dunleavy Jr. Context triple: [Mike Dunleavy Sr., relative, Mike Dunleavy Jr.]
-
A.
Mike Dunleavy
Mike Dunleavy is an American Republican politician and former educator who serves as the governor of Alaska.
-
B.
Mike Dunleavy Sr.
chosen
Mike Dunleavy Sr. is an American former NBA player and head coach best known for leading multiple franchises, including the Los Angeles Lakers, Milwaukee Bucks, Portland Trail Blazers, and Los Angeles Clippers.
-
C.
Mike Sullivan
Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
-
D.
Ed Gainey
Ed Gainey is an American politician who became the first Black mayor of Pittsburgh, Pennsylvania.
-
E.
Dion Beebe
Dion Beebe is an Academy Award–winning Australian–South African cinematographer known for his visually distinctive work on films such as "Memoirs of a Geisha" and "Collateral."
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a67c0308190a502fd9c6c0769bc |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1ac4b9c8190a7d0fa610a77f9c3 |
completed | March 8, 2026, 7:44 p.m. |
Created at: March 4, 2026, 7:29 p.m.