Triple
T36240257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Lee |
E891498
|
entity |
| Predicate | isOwnedByCharacter |
P102726
|
FINISHED |
| Object | Duke 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: Duke family | Statement: [General Lee, isOwnedByCharacter, Duke family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOwnedByCharacter Context triple: [General Lee, isOwnedByCharacter, Duke family]
-
A.
hasOwnerCharacters
chosen
Indicates that an entity is associated with one or more characters who own or are responsible for it.
-
B.
ownsRightsToCharacter
Indicates that one entity holds the legal rights or ownership over the use and exploitation of a particular character.
-
C.
ownerOfProtagonist
Indicates that one entity is the owner, master, or possessor of the protagonist entity.
-
D.
usedByCharacter
Indicates that something (such as an item, ability, or resource) is utilized or employed by a particular character.
-
E.
ownershipCharacteristic
Indicates that one entity possesses a particular quality, attribute, or condition specifically in its role as an owner of 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_69f76e44993481908fa75e4c48d0aab3 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5ceb6a081909c40f5f3fff9bcbd |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.