Triple
T13871249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serge Ibaka |
E333453
|
entity |
| Predicate | numberOfTimesLedLeagueInBlocks |
P112196
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Serge Ibaka, numberOfTimesLedLeagueInBlocks, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesLedLeagueInBlocks Context triple: [Serge Ibaka, numberOfTimesLedLeagueInBlocks, 2]
-
A.
hasLeadCountPerSide
Indicates the number of lead elements or units associated with each side in a given context or configuration.
-
B.
numberOfLeagues
Indicates the quantity of leagues associated with or attributed to a given entity or relationship.
-
C.
ledLeagueIn
Indicates that an entity achieved the highest performance or total in a specified statistical category within a particular league for a given season or time period.
-
D.
numberOfBlocks
Indicates the quantity of discrete block units associated with or contained by a given entity.
-
E.
ledLeague
Indicates that an entity finished a season or competition as the statistical leader of a specified category within a particular league.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:14 p.m.