Triple
T2273688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Chandler |
E50719
|
entity |
| Predicate | hasRelationshipWith |
P2830
|
FINISHED |
| Object | Randi Chandler |
E250906
|
NE 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: Randi Chandler | Statement: [Lee Chandler, hasRelationshipWith, Randi Chandler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randi Chandler Context triple: [Lee Chandler, hasRelationshipWith, Randi Chandler]
-
A.
Randi Chandler
chosen
Randi Chandler is a member of the Chandler family featured in the film "Manchester by the Sea."
-
B.
Joyce Kinney
Joyce Kinney is a fictional news anchor character from the animated television series "Family Guy," where she works alongside Tom Tucker at the local TV station.
-
C.
Wendy Raquel Robinson
Wendy Raquel Robinson is an American actress best known for her comedic television roles, including Regina "Piggy" Grier on The Steve Harvey Show and Tasha Mack on The Game.
-
D.
Kay Nelson
Kay Nelson was a Hollywood costume designer known for her work on classic films of the 1940s.
-
E.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1ea6cc88190982527774223127f |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f0ed1b881909ba3c7f9fea50267 |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.