Triple
T28305800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Eisner |
E713841
|
entity |
| Predicate | partOfSocialCircleOf |
P30021
|
FINISHED |
| Object | Simon Spier |
—
|
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: Simon Spier | Statement: [Nick Eisner, partOfSocialCircleOf, Simon Spier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfSocialCircleOf Context triple: [Nick Eisner, partOfSocialCircleOf, Simon Spier]
-
A.
socialCircle
chosen
Indicates that one entity belongs to, or is part of, the group of people with whom another entity regularly interacts socially.
-
B.
hasSocialTieWith
Indicates a social relationship or connection exists between two entities, such as friendship, acquaintance, or other interpersonal tie.
-
C.
partnerInSocialLifeOf
Indicates that one entity is a partner or companion of another in their social life, sharing social activities, events, or circles.
-
D.
relationshipNetwork
Indicates a connection between entities that are linked through a web of relationships, often capturing how they are associated or interact within a broader network.
-
E.
acquaintanceOf
Indicates that one entity knows another in a casual or non-intimate way, without implying close friendship or strong personal ties.
- 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: April 27, 2026, 11:37 p.m.