Triple
T6867879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Kane |
E158457
|
entity |
| Predicate | rightsHolderInStory |
P7802
|
FINISHED |
| Object | Kane family mine |
—
|
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: Kane family mine | Statement: [Mary Kane, rightsHolderInStory, Kane family mine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rightsHolderInStory Context triple: [Mary Kane, rightsHolderInStory, Kane family mine]
-
A.
ownerInStory
Indicates that one entity is the owner of another entity within the context or narrative of a specific story.
-
B.
commercialRightsHolderOf
Indicates that one entity holds the legal commercial rights to exploit, license, or profit from another entity.
-
C.
rightsHolderRecognition
Indicates that an entity formally acknowledges or identifies another entity as the legitimate holder of specific rights.
-
D.
rightHolder
chosen
Indicates that one entity holds or possesses a legal or contractual right in relation to another entity or resource.
-
E.
hasCopyrightHolder
Indicates that a specified entity holds the legal copyright ownership or rights over 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:21 p.m.