Triple
T20286378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Your Paris |
E509885
|
entity |
| Predicate | collectionBySameAuthor |
P67552
|
FINISHED |
| Object | Crow |
—
|
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: Crow | Statement: [Your Paris, collectionBySameAuthor, Crow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crow Context triple: [Your Paris, collectionBySameAuthor, Crow]
-
A.
Crow
The Crow are a Native American tribe of the Great Plains, historically known as skilled horsemen and buffalo hunters centered in what is now Montana.
-
B.
Crow
Crow is a common English surname shared by various notable individuals, including the American singer-songwriter Sheryl Crow.
-
C.
Crow
Crow is a character named Crow Tyrannosaurus, likely depicted as a distinctive or humorous figure associated with that unusual full name.
-
D.
Crow
chosen
"Crow" is a dark, experimental poetry collection by Ted Hughes that follows the mythic figure of Crow through violent, surreal explorations of creation, suffering, and the human condition.
-
E.
Crow
Crow is a highly intelligent, black-plumaged bird of the genus Corvus, known for its problem-solving abilities, complex social behavior, and prominent role in mythologies and folklore worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e676931fe08190b278d829a745701f |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:06 a.m.