Triple
T25187582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kacey Simon |
E630762
|
entity |
| Predicate | formerFriend |
P170326
|
FINISHED |
| Object | Molly Garfunkel |
—
|
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: Molly Garfunkel | Statement: [Kacey Simon, formerFriend, Molly Garfunkel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerFriend Context triple: [Kacey Simon, formerFriend, Molly Garfunkel]
-
A.
friend
Indicates a mutual, typically positive social relationship of companionship, trust, or support between two entities.
-
B.
formerNeighbor
Indicates that one entity used to live near or next to the other entity but no longer does.
-
C.
childhoodFriend
Indicates that two people were close friends during their childhood period.
-
D.
formerEnemyOf
Indicates that one entity was previously an enemy of another entity, but that adversarial relationship no longer holds.
-
E.
formerPartner
Indicates that one entity was previously in a romantic or partnership relationship with another entity, but that relationship has since ended.
- F. None of above. chosen
Provenance (4 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 21, 2026, 12:44 p.m.