Triple
T10260810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Johnson |
E240588
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ben Johnson |
unclear NED1
|
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: Ben Johnson | Statement: [Ben Johnson, name, Ben Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Johnson Context triple: [Ben Johnson, name, Ben Johnson]
-
A.
Ben Johnson
Ben Johnson is an English professional footballer known for playing as a defender for West Ham United and representing England at youth international levels.
-
B.
Ben Johnson
Ben Johnson is a Canadian former sprinter best known for winning the 100 metres at the 1988 Seoul Olympics before being stripped of the title for doping.
-
C.
Ben Johnson
Ben Johnson is an American actor best known for his roles in classic Western films and for winning an Academy Award for his performance in "The Last Picture Show."
-
D.
Michael Johnson
Michael Johnson is an American sprinter renowned for his dominance in the 200m and 400m events, multiple world records, and several Olympic gold medals.
-
E.
Maurice Greene
Maurice Greene is an American former sprinter and Olympic gold medalist who dominated the 100-meter dash in the late 1990s and early 2000s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25bc7f88190b7e83243894d1aeb |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7f1500c819089d569dbfce705b8 |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:32 a.m.