Triple
T23455341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah Solloway |
E567905
|
entity |
| Predicate | relationshipStatusWithAlison |
P104581
|
FINISHED |
| Object | begins affair during summer in Montauk |
—
|
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: begins affair during summer in Montauk | Statement: [Noah Solloway, relationshipStatusWithAlison, begins affair during summer in Montauk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStatusWithAlison Context triple: [Noah Solloway, relationshipStatusWithAlison, begins affair during summer in Montauk]
-
A.
relationshipToFriends
Indicates the type or nature of the relationship an entity has with its friends.
-
B.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
C.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
D.
relationshipStatusInStory
chosen
Indicates the type or state of the relationship between entities as it exists within the context of a specific story or narrative.
-
E.
stateOfRelations
Indicates the current nature or condition of the relationship between two or more entities, such as whether it is friendly, hostile, neutral, or otherwise characterized.
- 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a696e6c48190a7159292cfe3362f |
completed | April 29, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:53 p.m.