Triple
T34093380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Becky |
E874356
|
entity |
| Predicate | formsRomanticRelationshipWith |
P61561
|
FINISHED |
| Object | Gilbert Grape |
—
|
NE NERFINISHED |
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: Gilbert Grape | Statement: [Becky, formsRomanticRelationshipWith, Gilbert Grape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsRomanticRelationshipWith Context triple: [Becky, formsRomanticRelationshipWith, Gilbert Grape]
-
A.
formerRomanticInterest
Indicates that one entity previously had a romantic relationship or attraction toward another entity, but that romantic connection has since ended.
-
B.
inRelationshipWith
chosen
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
C.
romanticRelationshipStatus
Indicates the nature or state of a romantic relationship between entities, such as whether they are dating, committed, separated, or otherwise romantically involved.
-
D.
hasRomanticTensionWith
Indicates a mutual or one-sided romantic attraction or unresolved romantic interest existing between two entities.
-
E.
romanticInvolvementUnderAlias
Indicates that two entities are romantically involved with each other while at least one of them is using an alias or false identity.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 1, 2026, 1:52 a.m.