Triple
T29370301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick (The Perks of Being a Wallflower) |
E744834
|
entity |
| Predicate | relationshipStatusWithBrad |
P203162
|
FINISHED |
| Object | secret relationship |
—
|
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: secret relationship | Statement: [Patrick (The Perks of Being a Wallflower), relationshipStatusWithBrad, secret relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStatusWithBrad Context triple: [Patrick (The Perks of Being a Wallflower), relationshipStatusWithBrad, secret relationship]
-
A.
relationshipStatusWithBradSimon
Indicates the type or state of the relationship that an entity currently has with Brad Simon.
-
B.
relationshipStatusWithBrian
Indicates the current nature or state of an entity’s personal relationship with Brian.
-
C.
relationshipStatusWithMichael
Indicates the type or state of the relationship that an entity currently has with Michael.
-
D.
relationshipStatusWithHoward
Indicates the type or state of the relationship an entity currently has with Howard.
-
E.
relationshipStatusWithMarnie
Indicates the nature or current state of the relationship that an entity has with Marnie.
- 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a01302a80ec8190a27692f09ac38a80 |
completed | May 11, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_6a012fad62308190a53f8b4a071eb245 |
completed | May 11, 2026, 1:23 a.m. |
| PDg | Predicate description generation | batch_6a013029b3a48190884d661f6c622cad |
completed | May 11, 2026, 1:26 a.m. |
Created at: April 28, 2026, 2:26 p.m.