Triple
T37971681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miko Nakadai |
E947301
|
entity |
| Predicate | relationshipToAutobots |
P123314
|
FINISHED |
| Object | main human ally |
—
|
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: main human ally | Statement: [Miko Nakadai, relationshipToAutobots, main human ally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToAutobots Context triple: [Miko Nakadai, relationshipToAutobots, main human ally]
-
A.
relationshipToCyborg
Indicates the type or nature of a person's relational connection to a cyborg, such as familial, social, or professional.
-
B.
relationshipToKlaatu
Indicates the specific familial, social, or professional relationship that one entity has to the entity named Klaatu.
-
C.
relationshipToAlly
chosen
Indicates the type or nature of a subject's connection or association with an ally.
-
D.
roleInTransformers
Indicates that an entity has a specific role or function within the Transformers franchise or universe.
-
E.
relationshipToAli
Indicates the specific type of relationship or connection that one entity has to Ali.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.