Triple
T8837025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeline Bassett |
E210289
|
entity |
| Predicate | perceptionByBertieWooster |
P75821
|
FINISHED |
| Object | regarded as terrifying prospect for marriage |
—
|
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: regarded as terrifying prospect for marriage | Statement: [Madeline Bassett, perceptionByBertieWooster, regarded as terrifying prospect for marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceptionByBertieWooster Context triple: [Madeline Bassett, perceptionByBertieWooster, regarded as terrifying prospect for marriage]
-
A.
describedAsByBertieWooster
chosen
Indicates that something is characterized or portrayed in a particular way by the character Bertie Wooster.
-
B.
relationshipToBertieWooster
Indicates the specific type of personal or social relationship an entity has with Bertie Wooster.
-
C.
relationshipTypeWithBertieWooster
Indicates the specific nature or category of relationship an entity has with Bertie Wooster.
-
D.
WoosterStatus
Indicates the current condition, role, or state associated with Wooster in a given context.
-
E.
hasBritishAccent
Indicates that the subject speaks with a British accent.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc606adde08190825dbdabd199c025 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:47 p.m.