Triple
T24552761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Living Doll |
E607416
|
entity |
| Predicate | robotCharacterName |
P50772
|
FINISHED |
| Object | AF 709 |
—
|
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: AF 709 | Statement: [My Living Doll, robotCharacterName, AF 709]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: robotCharacterName Context triple: [My Living Doll, robotCharacterName, AF 709]
-
A.
robotCharacter
Indicates that an entity is characterized as a robot, typically possessing mechanical or artificial attributes that define its nature or role.
-
B.
robotName
chosen
Indicates that an entity is identified by or associated with a specific robot name.
-
C.
mainRobotCharacter
Indicates that the referenced entity is the primary robot protagonist or central robotic figure in a narrative or scenario.
-
D.
hasRobotCharacterRole
Indicates that an entity participates in a role or function specifically as a robot character within a given context or work.
-
E.
characterName
Indicates that an entity has a specific name used to identify its character.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8cf1ef88190977da0fb79796616 |
completed | April 30, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.