Triple
T1601574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobe Bryant All-Star Game MVP Award |
E34403
|
entity |
| Predicate | firstYearUnderCurrentName |
P30636
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [Kobe Bryant All-Star Game MVP Award, firstYearUnderCurrentName, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstYearUnderCurrentName Context triple: [Kobe Bryant All-Star Game MVP Award, firstYearUnderCurrentName, 2020]
-
A.
lastEditionYearUnderThisName
Indicates the final year in which something (such as a publication, event, or product) was issued or held under a specific name before that name changed or was discontinued.
-
B.
usedAsFirstNameSinceCentury
Indicates that an entity has been used as a first name starting from a specified century.
-
C.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
D.
formerNamePeriodStart
Indicates the date or time point when an entity began using a former name that is being recorded.
-
E.
firstYearPlayed
Indicates the year in which an entity (such as a person or team) first began participating in the specified activity or domain.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a95aada3f881909053363c01de8b57 |
completed | March 5, 2026, 10:29 a.m. |
Created at: March 4, 2026, 7:28 p.m.