Triple
T5006429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA scoring champion |
E112504
|
entity |
| Predicate | timeframeOfFormerName |
P17450
|
FINISHED |
| Object | 1946–1949 |
—
|
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: 1946–1949 | Statement: [NBA scoring champion, timeframeOfFormerName, 1946–1949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeframeOfFormerName Context triple: [NBA scoring champion, timeframeOfFormerName, 1946–1949]
-
A.
formerNamePeriodStart
Indicates the date or time point when an entity began using a former name that is being recorded.
-
B.
formerNamePeriodEnd
chosen
Indicates the point in time when an entity stopped using a former name.
-
C.
formerName
Indicates that an entity was previously known by a different name in the past.
-
D.
operatedAsNameUntil
Indicates that an entity functioned or was known under a particular name up to a specified point in time.
-
E.
previousNameUsedUntil
Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or time.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.