Triple
T30900978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "If it doesn’t fit, you must acquit" |
E787164
|
entity |
| Predicate | memorableLineOf |
P492
|
FINISHED |
| Object | Johnnie Cochran’s closing argument |
—
|
NE NERFINISHED |
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: Johnnie Cochran’s closing argument | Statement: ["If it doesn’t fit, you must acquit", memorableLineOf, Johnnie Cochran’s closing argument]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorableLineOf Context triple: ["If it doesn’t fit, you must acquit", memorableLineOf, Johnnie Cochran’s closing argument]
-
A.
famousLineSpeaker
Indicates that the subject is the person who spoke or delivered the famous line referenced by the object.
-
B.
memorableQuoteContext
Indicates the situational or narrative context in which a particular memorable quote was spoken or written.
-
C.
commemorativePhrase
Indicates a phrase that is used to honor, remember, or pay tribute to a person, event, or occasion.
-
D.
famousLineSourceOde
Indicates that one entity is the source or origin of a famous line found in the ode represented by the other entity.
-
E.
notableQuote
chosen
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 29, 2026, 8:50 p.m.