Triple
T28208907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linton Heathcliff |
E717102
|
entity |
| Predicate | relationshipToCathyLinton |
P93867
|
FINISHED |
| Object | husband |
—
|
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: husband | Statement: [Linton Heathcliff, relationshipToCathyLinton, husband]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToCathyLinton Context triple: [Linton Heathcliff, relationshipToCathyLinton, husband]
-
A.
relationshipToCatherineLinton
chosen
Indicates the specific familial or social relationship that an entity has to Catherine Linton.
-
B.
laterAttitudeTowardCathyLinton
Indicates the attitude or feelings an entity comes to hold toward Cathy Linton at a subsequent point in time, as opposed to an earlier or initial attitude.
-
C.
relationshipToEdgarLinton
Indicates the nature or type of relationship an entity has with Edgar Linton.
-
D.
relationshipToHeathcliff
Indicates the nature or type of relational connection an entity has with Heathcliff.
-
E.
relationshipToJaneEyre
Indicates the specific familial, social, or emotional connection that one entity has to Jane Eyre.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69ffdd05d1908190957deb11392f4595 |
completed | May 10, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69ffdc0d33c881908b3483bee8a96540 |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 27, 2026, 10:37 p.m.