Triple
T1601454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team LeBron |
E34400
|
entity |
| Predicate | pointsAfterThreeQuarters |
P30632
|
FINISHED |
| Object | 124 |
—
|
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: 124 | Statement: [Team LeBron, pointsAfterThreeQuarters, 124]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsAfterThreeQuarters Context triple: [Team LeBron, pointsAfterThreeQuarters, 124]
-
A.
secondAndThirdQuarters
Indicates that the relationship or action specifically involves the second and third quarters of a defined time period (such as a fiscal or calendar year).
-
B.
fourthQuarter
Indicates that an event, action, or state occurs during the fourth quarter of a defined time period (such as a fiscal year or sports game).
-
C.
thirdQuarter
Indicates that something occurs in, belongs to, or is associated with the third quarter of a defined time period (such as a fiscal or calendar year).
-
D.
thirdQuarterRepresents
Indicates that something serves as or corresponds to the third quarter portion of a whole (such as time, financial period, or sequence).
-
E.
fourthQuarterRepresents
Indicates that something corresponds to, summarizes, or is used as the representation of the fourth quarter period (e.g., in time, performance, or reporting).
- 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.