Triple
T3410683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. November |
E71884
|
entity |
| Predicate | hasPositionContext |
P8266
|
FINISHED |
| Object | shortstop |
—
|
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: shortstop | Statement: [Mr. November, hasPositionContext, shortstop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositionContext Context triple: [Mr. November, hasPositionContext, shortstop]
-
A.
hasPositionOn
chosen
Indicates that one entity occupies or holds a specific role, job, or spatial location relative to another entity.
-
B.
hasCanonicalPosition
Indicates that an entity occupies a standard, officially recognized, or authoritative position or location within a defined structure or system.
-
C.
isPositionOf
Indicates that one entity represents the spatial or organizational position or location of another entity.
-
D.
refersToPosition
Indicates that one entity makes reference to, or is associated with, a specific position or location of another entity.
-
E.
hasBracketPosition
Indicates that an entity occupies or is assigned a specific position within a bracket or ordered bracket structure.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9094b2881909262e58a470ed9d0 |
completed | March 8, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69adadfa73ac8190a163f93e88d217f8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.