Triple
T29148377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Goran |
E738833
|
entity |
| Predicate | relationshipTypeWithRyanBingham |
P133507
|
FINISHED |
| Object | casual 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: casual relationship | Statement: [Alex Goran, relationshipTypeWithRyanBingham, casual relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithRyanBingham Context triple: [Alex Goran, relationshipTypeWithRyanBingham, casual relationship]
-
A.
relationshipToRyanBingham
chosen
Indicates the specific type of personal or social relationship an entity has with Ryan Bingham.
-
B.
relationshipTypeWithSydneyBristow
Indicates the specific nature or category of the relationship an entity has with Sydney Bristow.
-
C.
endTimeOfSpouseRelationshipWith Ryan O'Neal
Indicates the point in time when a person's spousal relationship with Ryan O'Neal ended.
-
D.
relationshipToRyanPound
Indicates the specific type of relationship or connection that an entity has to Ryan Pound.
-
E.
relationshipTypeWithMarnie
Indicates the specific nature or category of relationship that an entity has with Marnie.
- 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a00d508290081909f3d5dfbb2e80c8e |
completed | May 10, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_6a00d49da4cc81909566ad286ec22292 |
completed | May 10, 2026, 6:55 p.m. |
Created at: April 28, 2026, 11:41 a.m.