Triple
T15242967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attell |
E364304
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Abe Attell |
E74437
|
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: Abe Attell | Statement: [Attell, hasNotableBearer, Abe Attell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abe Attell Context triple: [Attell, hasNotableBearer, Abe Attell]
-
A.
Abe Attell
chosen
Abe Attell was a former American featherweight boxing champion who later gained notoriety for his alleged role as a key gambling intermediary in the 1919 Black Sox baseball scandal.
-
B.
Rex Pierson
Rex Pierson was a British aircraft designer best known for creating several important Vickers military aircraft, including the Wellington bomber used extensively during World War II.
-
C.
Arnett Cobb
Arnett Cobb was an American jazz tenor saxophonist known for his powerful, blues-infused playing and contributions to the Texas tenor tradition.
-
D.
Amos Kling
Amos Kling was an American businessman and the wealthy, influential father of Florence Harding, wife of U.S. President Warren G. Harding.
-
E.
Glen Tullman
Glen Tullman is an American healthcare technology entrepreneur and executive best known for leading and building major digital health companies, including Allscripts.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007dcc33081908545ea1a1d2c19fe |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6c25808190af46f4cab56f133c |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:13 a.m.