Triple
T7537389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lloyd Bentsen "You’re no Jack Kennedy" remark |
E178183
|
entity |
| Predicate | fullText |
P39049
|
FINISHED |
| Object | Senator, I served with Jack Kennedy. I knew Jack Kennedy. Jack Kennedy was a friend of mine. Senator, you’re no Jack Kennedy. |
—
|
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: Senator, I served with Jack Kennedy. I knew Jack Kennedy. Jack Kennedy was a friend of mine. Senator, you’re no Jack Kennedy. | Statement: [Lloyd Bentsen "You’re no Jack Kennedy" remark, fullText, Senator, I served with Jack Kennedy. I knew Jack Kennedy. Jack Kennedy was a friend of mine. Senator, you’re no Jack Kennedy.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullText Context triple: [Lloyd Bentsen "You’re no Jack Kennedy" remark, fullText, Senator, I served with Jack Kennedy. I knew Jack Kennedy. Jack Kennedy was a friend of mine. Senator, you’re no Jack Kennedy.]
-
A.
textContent
chosen
Indicates that one entity is the textual content or written material contained within another entity.
-
B.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
-
C.
canonicalText
Indicates that a standardized, authoritative textual representation is associated with an entity or expression.
-
D.
textFragment
Indicates that one piece of text is a constituent part or segment of a larger text.
-
E.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84db0c48190b2b3d8c5f802f713 |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:48 p.m.