Triple
T13904160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLB All-Star |
E334301
|
entity |
| Predicate | canBeMultipleTimes |
P3161
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [MLB All-Star, canBeMultipleTimes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeMultipleTimes Context triple: [MLB All-Star, canBeMultipleTimes, true]
-
A.
canBeAwardedMultipleTimes
chosen
Indicates that the associated award, honor, or recognition may be granted to the same recipient on more than one occasion.
-
B.
canOperateInMultiple
Indicates that an entity is capable of functioning or being used across more than one context, environment, or mode.
-
C.
canBeReceivedOnce
Indicates that the referenced item, benefit, or action may only be obtained a single time by a given recipient.
-
D.
hasMultiple
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
E.
canOperateInMultipleWith
Indicates that an entity is capable of functioning or being used concurrently within multiple instances, contexts, or configurations of another entity.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25db1e308190aaed6a21e443cc44 |
completed | April 14, 2026, 11:32 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:16 p.m.