Triple
T35198357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradley "Rooster" Bradshaw |
E1016329
|
entity |
| Predicate | relationshipToGoose |
P96394
|
FINISHED |
| Object | son |
—
|
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: son | Statement: [Bradley "Rooster" Bradshaw, relationshipToGoose, son]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToGoose Context triple: [Bradley "Rooster" Bradshaw, relationshipToGoose, son]
-
A.
relationshipToBirds
Indicates the nature or type of connection an entity has with birds, such as interaction, association, or relevance.
-
B.
relationshipToCreature
chosen
Indicates a specified type of relational connection that one entity has toward a particular creature.
-
C.
relationshipToHamm
Indicates that one entity stands in a specified relationship to the entity referred to as Hamm.
-
D.
relationshipToGinger
Indicates the type or nature of a relationship that one entity has to the entity referred to as Ginger.
-
E.
relationshipTypeWithGoosefatBill
Indicates the specific nature or category of relationship that an entity has with GoosefatBill.
- 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.