Triple
T38502823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polly Harper |
E919885
|
entity |
| Predicate | relationshipStatusWithPiper |
P204692
|
FINISHED |
| Object | strained friendship |
—
|
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: strained friendship | Statement: [Polly Harper, relationshipStatusWithPiper, strained friendship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStatusWithPiper Context triple: [Polly Harper, relationshipStatusWithPiper, strained friendship]
-
A.
relationshipToPeter
Indicates the specific type of relationship or connection that an entity has to Peter.
-
B.
relationshipToPete
Indicates the specific type of relationship or connection that an entity has to Pete.
-
C.
relationshipStatusWithBrian
Indicates the current nature or state of an entity’s personal relationship with Brian.
-
D.
relationshipStatusWithJoeyPotter
Indicates the nature or state of an entity’s personal or romantic relationship with Joey Potter.
-
E.
relationshipStatusWithMichael
Indicates the type or state of the relationship that an entity currently has with Michael.
- 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_69f76e9ddd4481908f8c04439d848f9d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:31 p.m.