Triple
T17833839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyd Langton |
E445330
|
entity |
| Predicate | relationshipWithTopherBrink |
P129362
|
FINISHED |
| Object | manipulative |
—
|
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: manipulative | Statement: [Boyd Langton, relationshipWithTopherBrink, manipulative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithTopherBrink Context triple: [Boyd Langton, relationshipWithTopherBrink, manipulative]
-
A.
relationshipTypeWithChrisMyers
Indicates the specific nature or category of relationship that an entity has with Chris Myers.
-
B.
relationshipToBreeDaniels
Indicates a relationship that an entity has specifically to Bree Daniels, without specifying the type or nature of that relationship.
-
C.
relationshipToTony
Indicates the specific type of relationship or connection that an entity has with Tony.
-
D.
relationshipToEvanHansen
Indicates the type or nature of a person's relationship or connection to Evan Hansen.
-
E.
relationshipStatusWithBrian
Indicates the current nature or state of an entity’s personal relationship with Brian.
- F. None of above. chosen
Provenance (4 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2635a081909d4d48d22e260f8e |
completed | April 19, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3f022ec448190a9bf191be1c5f570 |
completed | April 18, 2026, 8:57 p.m. |
Created at: April 10, 2026, 10:15 a.m.