Triple
T10402231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim McMahon |
E245174
|
entity |
| Predicate | wearsGlassesOrGoggles |
P66471
|
FINISHED |
| Object | often wore headbands and eye black |
—
|
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: often wore headbands and eye black | Statement: [Jim McMahon, wearsGlassesOrGoggles, often wore headbands and eye black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearsGlassesOrGoggles Context triple: [Jim McMahon, wearsGlassesOrGoggles, often wore headbands and eye black]
-
A.
hasEyeWear
chosen
Indicates that one entity is wearing or equipped with some form of eyewear (such as glasses, goggles, or similar eye accessories).
-
B.
has3DGlasses
Indicates that an entity possesses or is equipped with 3D glasses.
-
C.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
D.
oculusDiameter
Indicates the diameter measurement of an oculus (a circular opening), relating the opening to the size of its circular span.
-
E.
canBeSeenWith
Indicates that two entities are observable together in the same context, setting, or time.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e42da08190a5383df3df6d3c18 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:08 p.m.