Triple
T17399708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blossom |
E423053
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Joey Lawrence |
—
|
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: Joey Lawrence | Statement: [Blossom, starring, Joey Lawrence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joey Lawrence Context triple: [Blossom, starring, Joey Lawrence]
-
A.
Joey Lawrence
chosen
Joey Lawrence is an American actor and singer best known for his roles in television series such as "Blossom" and "Melissa & Joey."
-
B.
Joey Matthews
Joey Matthews is a central character in the 1954 mystery thriller film "Gorilla at Large," around whom much of the circus-themed suspense and intrigue revolves.
-
C.
Joey Luft
Joey Luft is an American television producer and occasional actor best known as the son of legendary entertainer Judy Garland and producer Sidney Luft.
-
D.
Joey Curtis
Joey Curtis is a filmmaker and screenwriter known for his work in independent cinema and visually driven storytelling.
-
E.
Joey Curtis
Joey Curtis is a screenwriter best known for co-writing the critically acclaimed romantic drama film "Blue Valentine."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ac0596481908c400916d5c1b971 |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.