Triple
T29200149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Van Hopper |
E740244
|
entity |
| Predicate | attitudeTowardMaximDeWinter |
P105032
|
FINISHED |
| Object | socially opportunistic |
—
|
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: socially opportunistic | Statement: [Mrs. Van Hopper, attitudeTowardMaximDeWinter, socially opportunistic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardMaximDeWinter Context triple: [Mrs. Van Hopper, attitudeTowardMaximDeWinter, socially opportunistic]
-
A.
relationshipWithMiladyDeWinter
Indicates a personal or interpersonal connection that an entity has with Milady de Winter, such as familial, romantic, adversarial, or other significant relational ties.
-
B.
maxim
chosen
Indicates a general principle or rule that guides or characterizes an entity’s behavior, decisions, or actions.
-
C.
attitudeTowardLeninaCrowne
Indicates the nature or quality of an entity’s feelings, opinions, or stance toward Lenina Crowne.
-
D.
attitudeTowardChristmas
Indicates a person's feelings, opinions, or general disposition regarding Christmas.
-
E.
attitudeTowardCondemned
Indicates a subject’s evaluative stance or feelings directed toward someone or something that is condemned or judged negatively.
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 12:06 p.m.