Triple
T23954434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindley Earnshaw |
E603742
|
entity |
| Predicate | relationshipToCatherine Earnshaw |
P66259
|
FINISHED |
| Object | brother |
—
|
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: brother | Statement: [Hindley Earnshaw, relationshipToCatherine Earnshaw, brother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToCatherine Earnshaw Context triple: [Hindley Earnshaw, relationshipToCatherine Earnshaw, brother]
-
A.
relationshipToCatherineLinton
Indicates the specific familial or social relationship that an entity has to Catherine Linton.
-
B.
relationshipToEdgarLinton
Indicates the nature or type of relationship an entity has with Edgar Linton.
-
C.
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.
-
D.
relationshipToCatherine
chosen
Indicates the specific familial, social, or interpersonal connection that one entity has to the person named Catherine.
-
E.
relationshipToHettyHutter
Indicates the nature or type of relationship an entity has with Hetty Hutter.
- 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d616ec81908c796894f40f3015 |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:21 p.m.