Triple
T19125152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshall Field |
E468157
|
entity |
| Predicate | knownForMotto |
P20052
|
FINISHED |
| Object | Give the lady what she wants |
—
|
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: Give the lady what she wants | Statement: [Marshall Field, knownForMotto, Give the lady what she wants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownForMotto Context triple: [Marshall Field, knownForMotto, Give the lady what she wants]
-
A.
isMottoOf
chosen
Indicates that a phrase or expression serves as the official motto associated with a particular entity.
-
B.
definesMotto
Indicates that one entity establishes or specifies the official motto associated with another entity.
-
C.
honorificMotto
Indicates that one entity serves as an honorific motto or formal laudatory phrase associated with another entity.
-
D.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
E.
mottoOrNickname
Indicates that one entity serves as a motto, slogan, or nickname 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cc5ba08190a1073f2836caf5d3 |
completed | April 20, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.