Triple
T28842206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White v White |
E728347
|
entity |
| Predicate | emphasised |
P17414
|
FINISHED |
| Object | non-discrimination between breadwinner and homemaker |
—
|
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: non-discrimination between breadwinner and homemaker | Statement: [White v White, emphasised, non-discrimination between breadwinner and homemaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasised Context triple: [White v White, emphasised, non-discrimination between breadwinner and homemaker]
-
A.
hasEmphasis
chosen
Indicates that one element is given special stress, importance, or prominence relative to others.
-
B.
emphasizesConsonanceOf
Indicates that one entity highlights, stresses, or draws attention to the harmony, agreement, or consonant relationship between itself and another entity.
-
C.
positionEmphasized
Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
-
D.
emitted
Indicates that one entity has released, discharged, or sent out another entity, such as energy, particles, signals, or substances, into its surroundings.
-
E.
emphasizesAbility
Indicates that one entity highlights, stresses, or draws special attention to the capability or skill 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6597388608190b0bcb812f4484f62 |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:41 a.m.