Triple
T8835631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABA All-Time Team |
E210259
|
entity |
| Predicate | player |
P30628
|
FINISHED |
| Object | Zelmo Beaty |
E230088
|
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: Zelmo Beaty | Statement: [ABA All-Time Team, player, Zelmo Beaty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zelmo Beaty Context triple: [ABA All-Time Team, player, Zelmo Beaty]
-
A.
Zelmo Beaty
chosen
Zelmo Beaty was an American professional basketball center and Hall of Famer known for his dominant play in both the NBA and ABA during the 1960s and early 1970s.
-
B.
Burley Mitchell
Burley Mitchell is a former Chief Justice of the North Carolina Supreme Court and a prominent American jurist.
-
C.
Mahlon Dickerson
Mahlon Dickerson was a 19th-century American politician who served as Governor of New Jersey, U.S. Senator, and U.S. Secretary of the Navy.
-
D.
Mahlon Sweet
Mahlon Sweet was a prominent local aviation advocate and civic leader in Eugene, Oregon, whose efforts were instrumental in establishing the city’s municipal airport.
-
E.
Floyd Huddleston
Floyd Huddleston was an American songwriter and lyricist best known for his work on Disney films such as "The Aristocats" and "The Jungle Book."
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6069ad7881909e31010e73e26f91 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6847ad9fc819085b0d6c886488c3b |
completed | April 20, 2026, 7:54 p.m. |
Created at: March 30, 2026, 6:47 p.m.