Triple
T29040590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slam Dunk Ernest |
E737984
|
entity |
| Predicate | hasFantasyElement |
P180621
|
FINISHED |
| Object | magic shoes |
—
|
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: magic shoes | Statement: [Slam Dunk Ernest, hasFantasyElement, magic shoes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFantasyElement Context triple: [Slam Dunk Ernest, hasFantasyElement, magic shoes]
-
A.
usedInFantasySportsPlatforms
Indicates that something (such as data, content, or a feature) is utilized within fantasy sports platforms for gameplay, management, or related functionality.
-
B.
hasFandomElement
Indicates that something includes, features, or is associated with an element derived from or related to a fandom.
-
C.
hasFictionalStatisticType
Indicates that something is associated with a type of statistic that exists only in a fictional or imaginary context.
-
D.
isKeyPlayerFor
Indicates that an entity plays a crucial or central role in the success, functioning, or performance of another entity (such as a team, project, or organization).
-
E.
fifaEligibility
Indicates that an entity (typically a player) meets the official criteria to represent a particular national team under FIFA regulations.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 28, 2026, 10:01 a.m.