Triple
T35625081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Blake |
E1029426
|
entity |
| Predicate | intellectualMatchOf |
P123379
|
FINISHED |
| Object | Lady Mary Crawley |
—
|
NE NERFINISHED |
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: Lady Mary Crawley | Statement: [Charles Blake, intellectualMatchOf, Lady Mary Crawley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intellectualMatchOf Context triple: [Charles Blake, intellectualMatchOf, Lady Mary Crawley]
-
A.
closeIntellectualCompanion
chosen
Indicates a relationship where one entity serves as a trusted, closely engaged partner in intellectual activities, such as thinking, learning, or discussing ideas, with another entity.
-
B.
intellectualRivalOf
Indicates a relationship where two entities challenge each other’s ideas or expertise, often competing in the same intellectual domain.
-
C.
hasIntellectualFocus
Indicates that an entity’s primary attention, study, or mental effort is directed toward a particular subject, topic, or area of interest.
-
D.
celebrityMatch
Indicates a relationship where one entity is identified as a suitable or corresponding celebrity counterpart or pairing for another entity.
-
E.
typeOfIntelligence
Indicates that one entity is a specific kind or category of intelligence in relation to 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ef4a5f481909f3241a4e20ea37e |
completed | May 3, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.