Triple
T31373178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Murphy family |
E800219
|
entity |
| Predicate | interactionsShapedBy |
P103195
|
FINISHED |
| Object | Connor Murphy |
—
|
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: Connor Murphy | Statement: [the Murphy family, interactionsShapedBy, Connor Murphy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interactionsShapedBy Context triple: [the Murphy family, interactionsShapedBy, Connor Murphy]
-
A.
interactionBetween
Indicates a reciprocal or mutual action, influence, or communication occurring between two or more entities.
-
B.
intendedAudienceInteraction
Indicates that one entity is the target group or audience with whom another entity is meant to interact or engage.
-
C.
studiesInteraction
Indicates that one entity examines, analyzes, or researches the interactions or relationships occurring between other entities.
-
D.
typicalInteraction
Indicates the usual or most common way in which two entities interact or relate to each other.
-
E.
hasInteractionEffects
chosen
Indicates that one entity’s presence, action, or state alters, influences, or modifies the behavior, effect, or outcome associated with another entity.
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 29, 2026, 9:18 p.m.