Triple
T33240320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wingfoot |
E850943
|
entity |
| Predicate | isNicknameForRole |
P36689
|
FINISHED |
| Object | ranger identity of Aragorn |
—
|
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: ranger identity of Aragorn | Statement: [Wingfoot, isNicknameForRole, ranger identity of Aragorn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNicknameForRole Context triple: [Wingfoot, isNicknameForRole, ranger identity of Aragorn]
-
A.
isNickname
Indicates that one name is an informal or alternative name commonly used to refer to the same person or entity as another name.
-
B.
nicknameForRole
chosen
Indicates that one entity is an informal or alternative name commonly used to refer to a particular role or position represented by another entity.
-
C.
isIronicNicknameFor
Indicates that a nickname is used in an ironic or opposite-to-reality way to refer to someone or something.
-
D.
hasNamesakeRoleFor
Indicates that one entity holds a role or position that is named after, or serves as a namesake for, another entity.
-
E.
isReferencedInNickname
Indicates that one entity is mentioned or alluded to within another entity’s nickname.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:31 a.m.