Triple
T34500236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Errol |
E885729
|
entity |
| Predicate | perceivedByEarl |
P84907
|
FINISHED |
| Object | socially inferior |
—
|
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 inferior | Statement: [Mrs. Errol, perceivedByEarl, socially inferior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceivedByEarl Context triple: [Mrs. Errol, perceivedByEarl, socially inferior]
-
A.
usedToOverhear
Indicates that one entity habitually or previously listened in on another entity’s conversations or activities without their knowledge.
-
B.
heardBy
chosen
Indicates that a sound, message, or communication produced by one entity is perceived or received auditorily by another entity.
-
C.
perceivedByRivalsAs
Indicates that one entity is regarded or viewed in a particular way by its rivals.
-
D.
hasPublicPerception
Indicates that an entity is associated with a particular way it is viewed, judged, or regarded by the general public or society.
-
E.
influencedPerceptionOf
Indicates that one entity has affected, shaped, or altered how another entity is perceived or understood.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f728a345488190bd7e6751b09ac591 |
completed | May 3, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69f7283ef2608190a7a85d7e7f5332c0 |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 2:01 a.m.