Triple
T33528044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Earnshaw |
E858694
|
entity |
| Predicate | parentOfFamily |
P193733
|
FINISHED |
| Object | Earnshaw family |
—
|
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: Earnshaw family | Statement: [Mr. Earnshaw, parentOfFamily, Earnshaw family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentOfFamily Context triple: [Mr. Earnshaw, parentOfFamily, Earnshaw family]
-
A.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
B.
ownerFamily
Indicates that a family has ownership or proprietary rights over a particular entity or resource.
-
C.
motherFather
Indicates that the two entities are the biological parents (mother and father) of a child or offspring.
-
D.
parentsStatus
Indicates the marital or relational status between a person's parents (e.g., married, divorced, separated, single).
-
E.
primaryFamily
Indicates that one entity is the main or principal family unit to which another entity is most closely or formally associated.
- F. None of above. chosen
Provenance (4 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fd509cdc5c8190a5f2c451bc0d0b25 |
completed | May 8, 2026, 2:55 a.m. |
Created at: May 1, 2026, 1:39 a.m.