Triple
T6459562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phi Slama Jama |
E142080
|
entity |
| Predicate | wordplayOn |
P37943
|
FINISHED |
| Object | Greek-letter fraternities |
—
|
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: Greek-letter fraternities | Statement: [Phi Slama Jama, wordplayOn, Greek-letter fraternities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wordplayOn Context triple: [Phi Slama Jama, wordplayOn, Greek-letter fraternities]
-
A.
isPlayOnWordsWith
chosen
Indicates a relationship where one expression is a pun or wordplay that depends on, echoes, or cleverly twists the wording or meaning of another expression.
-
B.
word1
Indicates that there is a first word in a sequence or pair that participates in the specified relationship.
-
C.
spellingGimmick
Indicates a distinctive or unconventional way of spelling something used for effect or branding rather than standard orthography.
-
D.
board
Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
-
E.
parodies
Indicates that one entity imitates another in an exaggerated or humorous way, often to criticize or comment on the original.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f347f48190a2b22c5b648b17bd |
completed | March 22, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69c0673b44148190aed70084f0ff4992 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:48 p.m.