Triple
T4737842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bold |
E105167
|
entity |
| Predicate | relationshipTypeWithSeptimusHarding |
P10690
|
FINISHED |
| Object | friend and antagonist |
—
|
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: friend and antagonist | Statement: [John Bold, relationshipTypeWithSeptimusHarding, friend and antagonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithSeptimusHarding Context triple: [John Bold, relationshipTypeWithSeptimusHarding, friend and antagonist]
-
A.
relationshipToHesterPrynne
Indicates the specific familial, social, or emotional connection that an entity has to Hester Prynne.
-
B.
relationshipToRogerChillingworth
Indicates the specific interpersonal connection or role that one entity has in relation to Roger Chillingworth.
-
C.
relationshipWithMiladyDeWinter
Indicates a personal or interpersonal connection that an entity has with Milady de Winter, such as familial, romantic, adversarial, or other significant relational ties.
-
D.
relationshipType
chosen
Indicates the specific kind of relationship that exists between two or more entities.
-
E.
relationshipToMissWatson
Indicates the type or nature of a person's relational connection to Miss Watson (e.g., familial, social, or other defined relationship).
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64844b7081909c9d36e4b461379e |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.