Triple
T10573747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Just the facts, ma’am" |
E249557
|
entity |
| Predicate | misquotes |
P77055
|
FINISHED |
| Object | lines from Dragnet such as "All we want are the facts" |
—
|
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: lines from Dragnet such as "All we want are the facts" | Statement: ["Just the facts, ma’am", misquotes, lines from Dragnet such as "All we want are the facts"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: misquotes Context triple: ["Just the facts, ma’am", misquotes, lines from Dragnet such as "All we want are the facts"]
-
A.
oftenMisquotedAs
chosen
Indicates that one entity is frequently incorrectly cited or repeated as being another specific entity or expression.
-
B.
misinterpretedBy
Indicates that something (such as a statement, action, or signal) is understood incorrectly or in a way not intended by a particular entity.
-
C.
quotationText
Indicates that the associated text is the exact content of a quotation made or referenced in the relationship.
-
D.
mentions
Indicates that one entity refers to, cites, or brings up another entity in some form of communication or content.
-
E.
quotedOn
Indicates that one entity is cited, referenced, or mentioned within another source, document, or context.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274929cc81909a79d5e2049f7389 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:37 p.m.