Triple
T10361491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hareton Earnshaw |
E244143
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Earnshaw |
E717101
|
NE 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: Earnshaw | Statement: [Hareton Earnshaw, familyName, Earnshaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earnshaw Context triple: [Hareton Earnshaw, familyName, Earnshaw]
-
A.
Earnshaw
chosen
Earnshaw is the surname of the family in Emily Brontë’s novel "Wuthering Heights" that takes in and raises the orphaned protagonist Heathcliff.
-
B.
Gouy
Gouy is a small commune in northern France located within the administrative boundaries of the canton of Le Cateau-Cambrésis.
-
C.
Bridgman
Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
-
D.
Ehrenfest
Ehrenfest is a surname most notably associated with Austrian-Dutch physicist Paul Ehrenfest, known for his contributions to statistical mechanics and quantum theory.
-
E.
Lenz
Lenz is a German surname most notably associated with the 18th-century Sturm und Drang writer Jakob Michael Reinhold Lenz.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96209548190957368ee8c6a9ec3 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750bcf00081909b44ffa5df76aec1 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:59 a.m.