Triple
T2195127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Colossus of Clout |
E49953
|
entity |
| Predicate | isEpithetFor |
P23283
|
FINISHED |
| Object | legendary baseball player |
—
|
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: legendary baseball player | Statement: [The Colossus of Clout, isEpithetFor, legendary baseball player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEpithetFor Context triple: [The Colossus of Clout, isEpithetFor, legendary baseball player]
-
A.
epithetOrTitle
chosen
Indicates that one entity serves as an epithet, honorific, or formal title used to designate or characterize another entity.
-
B.
honorificEponym
Indicates that one entity serves as an honorific namesake for another, typically recognizing or commemorating the person or entity in whose honor something is named.
-
C.
reasonForEpithet
Indicates the cause, motivation, or circumstance that explains why a particular epithet is applied to an entity.
-
D.
nameOf
Indicates that one entity is the name or designation of another entity.
-
E.
isTheophoric
Indicates that something (typically a name or term) incorporates the name of a deity or refers explicitly to a god.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf764e348190896af2aeb5520038 |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbda52328819089c7ab111bebb0ca |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.