Triple
T23540377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dre Ellis |
E577725
|
entity |
| Predicate | relationshipEvolution |
P87667
|
FINISHED |
| Object | friendship develops into romance |
—
|
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: friendship develops into romance | Statement: [Dre Ellis, relationshipEvolution, friendship develops into romance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipEvolution Context triple: [Dre Ellis, relationshipEvolution, friendship develops into romance]
-
A.
relationshipDynamic
Indicates a changing or evolving pattern of interaction between entities, such as shifts in their roles, closeness, or influence over time.
-
B.
relationshipImpact
Indicates how one entity’s relationship with another affects or changes those entities or their interaction.
-
C.
relationshipDevelopsWith
chosen
Indicates that a relationship grows, evolves, or becomes more developed between two entities over time.
-
D.
relationshipFocus
Indicates a relationship where particular attention, priority, or emphasis is placed on the connection between two or more entities.
-
E.
relationshipContext
Indicates the situational or social setting in which a relationship between entities exists or occurs.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1a66b88190811b38523ea606fe |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:10 p.m.