Triple
T33737379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drogon |
E864456
|
entity |
| Predicate | tookBodyOf |
P177259
|
FINISHED |
| Object | Daenerys Targaryen |
—
|
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: Daenerys Targaryen | Statement: [Drogon, tookBodyOf, Daenerys Targaryen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookBodyOf Context triple: [Drogon, tookBodyOf, Daenerys Targaryen]
-
A.
takenOnBody
Indicates that an item or object is physically carried or worn on a person’s body.
-
B.
usesBody
Indicates that one entity employs or utilizes the physical body of another (or its own) as a means or instrument to perform an action or function.
-
C.
publicBody
Indicates that an entity functions as a governmental or publicly controlled organization that performs public duties or services.
-
D.
usesBodyPart
Indicates that an entity performs an action or function by employing a specific body part as a means or tool.
-
E.
body
Indicates that one entity is the physical body or main corporeal form of another entity.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb54446881909265a17685fa5e4a |
completed | May 3, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fa335b908190a20d92d5396203b5 |
completed | May 3, 2026, 7:33 a.m. |
Created at: May 1, 2026, 1:44 a.m.