Triple
T20325853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricky Underwood |
E492335
|
entity |
| Predicate | hasRelationshipStatusWithAmy |
P112079
|
FINISHED |
| Object | engaged (later in series) |
—
|
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: engaged (later in series) | Statement: [Ricky Underwood, hasRelationshipStatusWithAmy, engaged (later in series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelationshipStatusWithAmy Context triple: [Ricky Underwood, hasRelationshipStatusWithAmy, engaged (later in series)]
-
A.
relationshipStatusWithAmyWinehouse
chosen
Indicates the type or state of a person's relationship with Amy Winehouse.
-
B.
relationshipStatusInStory
Indicates the type or state of the relationship between entities as it exists within the context of a specific story or narrative.
-
C.
relationshipStatusWithJane
Indicates the current nature or state of an entity’s personal relationship with Jane.
-
D.
relationshipStatusWithMichael
Indicates the type or state of the relationship that an entity currently has with Michael.
-
E.
companionshipStatus
Indicates the current state or condition of a relationship of companionship between two or more entities.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778f20288190b1862d6be61bfb67 |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:21 a.m.