Triple
T32171539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric "Otter" Stratton |
E821720
|
entity |
| Predicate | fraternityRole |
P74878
|
FINISHED |
| Object | ladies' man |
—
|
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: ladies' man | Statement: [Eric "Otter" Stratton, fraternityRole, ladies' man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fraternityRole Context triple: [Eric "Otter" Stratton, fraternityRole, ladies' man]
-
A.
fraternityType
Indicates the specific category or classification of a fraternity to which an entity belongs.
-
B.
initiationSociety
Indicates the relationship in which an entity is a member of, affiliated with, or participates in a society or group that conducts initiation rites or ceremonies.
-
C.
roleInClub
chosen
Indicates that an entity holds a specific position or function within a particular club.
-
D.
unionRole
Indicates that an entity holds or is assigned a specific role within a labor union or similar collective organization.
-
E.
roleWithinCollege
Indicates the specific position, function, or capacity an entity holds within a particular college.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba75252c8190991e0bb2c6452745 |
completed | May 3, 2026, 3:01 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:33 a.m.