Triple
T1505773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Porter |
E33896
|
entity |
| Predicate | statisticalMilestone |
P16995
|
FINISHED |
| Object | over 15,000 NBA career points |
—
|
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: over 15,000 NBA career points | Statement: [Terry Porter, statisticalMilestone, over 15,000 NBA career points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statisticalMilestone Context triple: [Terry Porter, statisticalMilestone, over 15,000 NBA career points]
-
A.
hasStatistics
Indicates that an entity is associated with one or more statistical measures, records, or summaries describing its quantitative properties or performance.
-
B.
notableStatistic
chosen
Indicates that a particular statistic is especially significant or noteworthy in relation to the subject.
-
C.
hasStatisticalLeaderCategory
Indicates that an entity is associated with a specific category under which it is recognized as a statistical leader (e.g., in performance metrics or records).
-
D.
salesMilestone
Indicates that a specific sales target or threshold has been reached or surpassed.
-
E.
significantEvent
Indicates that an event involving the entities is of notable importance or impact within a given context.
- F. None of above.
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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90584b8b881908e112c7e59163812 |
completed | March 5, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69a88727ce48819089b482cdc25453d1 |
completed | March 4, 2026, 7:25 p.m. |
Created at: March 4, 2026, 7:24 p.m.