Triple
T33906370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Cardellini as Lindsay Weir |
E869191
|
entity |
| Predicate | formerFriendGroup |
P170326
|
FINISHED |
| Object | Millie Kentner |
—
|
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: Millie Kentner | Statement: [Linda Cardellini as Lindsay Weir, formerFriendGroup, Millie Kentner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerFriendGroup Context triple: [Linda Cardellini as Lindsay Weir, formerFriendGroup, Millie Kentner]
-
A.
formerFriend
chosen
Indicates that two entities were once friends but are no longer in a friendship relationship.
-
B.
childhoodFriend
Indicates that two people were close friends during their childhood period.
-
C.
friendAndTeammate
Indicates that one entity has a relationship with another in which they are both friends and members of the same team.
-
D.
relationshipToFriends
Indicates the type or nature of the relationship an entity has with its friends.
-
E.
formedGroup
Indicates that multiple entities have come together to create or establish a group or collective unit.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
Created at: May 1, 2026, 1:48 a.m.