Triple
T9629463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Kundla |
E232558
|
entity |
| Predicate | coachedPlayer |
P2169
|
FINISHED |
| Object | Jim Pollard |
E104606
|
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 Pollard | Statement: [John Kundla, coachedPlayer, Jim Pollard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Pollard Context triple: [John Kundla, coachedPlayer, Jim Pollard]
-
A.
Jim Pollard
chosen
Jim Pollard was an American professional basketball forward, best known as a Hall of Famer and key early star of the Minneapolis Lakers dynasty.
-
B.
Michael J. Pollard
Michael J. Pollard was an American character actor best known for his Oscar-nominated role as C.W. Moss in the 1967 film "Bonnie and Clyde."
-
C.
Martin Poll
Martin Poll was an American film and television producer best known for his work on acclaimed projects such as the historical drama "The Lion in Winter."
-
D.
Ian Pooley
Ian Pooley is a German DJ and electronic music producer known for his influential house tracks that blend elements of techno, disco, and Brazilian music.
-
E.
John Paddock
John Paddock was an archaeologist known for his work on Mesoamerican sites, including significant excavations at the Zapotec site of Lambityeco in Oaxaca, Mexico.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b00162481908f396f6b6e470d6c |
completed | April 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189f7ea448190b9fe123589a9f3c5 |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:10 p.m.