Triple
T329672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fannie Farmer |
E6596
|
entity |
| Predicate | hasPartInHerLegacy |
P35
|
FINISHED |
| Object | standard household measuring cups and spoons in recipes |
—
|
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: standard household measuring cups and spoons in recipes | Statement: [Fannie Farmer, hasPartInHerLegacy, standard household measuring cups and spoons in recipes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInHerLegacy Context triple: [Fannie Farmer, hasPartInHerLegacy, standard household measuring cups and spoons in recipes]
-
A.
hasPartInHisHonor
Indicates that something includes or contains a part, section, or component that is dedicated or named in honor of a particular person.
-
B.
hasHeritage
Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
-
C.
hasPartInBiography
Indicates that a person or entity is featured or plays a role within someone’s biographical account.
-
D.
hasLegacy
Indicates that an entity leaves behind a lasting impact, influence, or inheritance that continues to exist or be recognized over time.
-
E.
hasPart
chosen
Indicates that one entity is a component, segment, or constituent part of 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaaeb64881909c7ab9bca3378e2b |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94aab1c8190b8654708c87eeb91 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.