Triple
T35007608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boy Wonder |
E1009854
|
entity |
| Predicate | hasAliasOfBearer |
P193634
|
FINISHED |
| Object | Robin |
—
|
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: Robin | Statement: [Boy Wonder, hasAliasOfBearer, Robin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAliasOfBearer Context triple: [Boy Wonder, hasAliasOfBearer, Robin]
-
A.
hasBearerAlternativeName
chosen
Indicates that an entity has an alternative name specifically used to refer to its bearer.
-
B.
hasGivenNameOfBearer
Indicates that a bearer (such as a person or entity) has a specific given (first) name.
-
C.
hasRealBearer
Indicates that an abstract or informational entity is concretely instantiated or carried by a specific physical bearer.
-
D.
hasStandardBearer
Indicates that one entity serves as the official flag- or standard-carrier for another entity, typically in a ceremonial, military, or representative capacity.
-
E.
hasNotableBearer
Indicates that an entity (such as a name, title, or identifier) is borne by at least one notable person or entity.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: May 3, 2026, 4:01 p.m.