Triple
T30006423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | With a Daughter’s Eye |
E762334
|
entity |
| Predicate | relationshipExplored |
P63064
|
FINISHED |
| Object | mother–daughter 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: mother–daughter relationship | Statement: [With a Daughter’s Eye, relationshipExplored, mother–daughter relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipExplored Context triple: [With a Daughter’s Eye, relationshipExplored, mother–daughter relationship]
-
A.
exploresRelationship
chosen
Indicates that one entity actively investigates, examines, or probes the nature, dynamics, or implications of its relationship with another entity.
-
B.
exploresRomanticRelationships
Indicates that one entity engages in or investigates romantic relationships with another entity.
-
C.
relationshipDevelopsWith
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.
relationshipDynamic
Indicates a changing or evolving pattern of interaction between entities, such as shifts in their roles, closeness, or influence over time.
- 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_69f2246a47ac81909cf5213053687ffc |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a01d7b3ce8c8190b2f90be730505765 |
completed | May 11, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_6a01d5115a6c8190a6d9f96ec484135a |
completed | May 11, 2026, 1:09 p.m. |
Created at: April 29, 2026, 6:42 p.m.