Triple
T21610326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veda Pierce |
E533287
|
entity |
| Predicate | despises |
P62730
|
FINISHED |
| Object | her mother’s working-class background |
—
|
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: her mother’s working-class background | Statement: [Veda Pierce, despises, her mother’s working-class background]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: despises Context triple: [Veda Pierce, despises, her mother’s working-class background]
-
A.
dislikes
chosen
Indicates that one entity has a negative feeling or aversion toward another entity.
-
B.
disrespect
Indicates a relationship in which one entity shows a lack of respect, regard, or consideration toward another.
-
C.
discourages
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
-
D.
disfavoured
Indicates that one entity holds a negative, unfavorable, or less preferred attitude or treatment toward another entity compared to alternatives.
-
E.
derogatesFrom
Indicates that one entity diminishes, belittles, or detracts from the value, reputation, or importance 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e7d1388190922a90cb91ec9fc4 |
completed | April 27, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.