Triple
T12566373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lennox Lewis |
E295488
|
entity |
| Predicate | numberOfTimesWorldHeavyweightChampion |
P105467
|
FINISHED |
| Object | 3 |
—
|
LITERAL 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: 3 | Statement: [Lennox Lewis, numberOfTimesWorldHeavyweightChampion, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesWorldHeavyweightChampion Context triple: [Lennox Lewis, numberOfTimesWorldHeavyweightChampion, 3]
-
A.
numberOfTimesWonWorldMiddleweightTitle
Indicates the number of times an entity has won the world middleweight championship title.
-
B.
undefeatedInProfessionalBoxing
Indicates that a boxer has never lost any match in their professional boxing career.
-
C.
becameOldestHeavyweightChampion
Indicates that an entity achieved the status of being the oldest person ever to hold the heavyweight champion title.
-
D.
isSecondWorldHeavyweightTitleReignFor
Indicates that the referenced heavyweight title reign is the second such reign in the career of the specified person or entity.
-
E.
numberOfTitleDefenses
Indicates the number of times an entity has successfully defended a previously won title or championship.
- F. None of above. chosen
Provenance (4 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d9550af6d48190a40e349ed0424be3 |
completed | April 10, 2026, 7:52 p.m. |
Created at: April 8, 2026, 11:49 p.m.