Triple
T16414604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joey Lauren Adams |
E398650
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joey Lauren Adams |
E398650
|
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: Joey Lauren Adams | Statement: [Joey Lauren Adams, name, Joey Lauren Adams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joey Lauren Adams Context triple: [Joey Lauren Adams, name, Joey Lauren Adams]
-
A.
Joey Lauren Adams
chosen
Joey Lauren Adams is an American actress and director known for her distinctive voice and prominent roles in 1990s films such as "Chasing Amy" and other comedies.
-
B.
Laura Marano
Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
-
C.
Nicole Eggert
Nicole Eggert is an American actress best known for her role as Summer Quinn on the television series "Baywatch."
-
D.
Kelsey Dohring
Kelsey Dohring is an actress known for playing Chrissy Seaver on the television sitcom "Growing Pains."
-
E.
Julia Faye
Julia Faye was an American actress best known for her frequent collaborations with director Cecil B. DeMille during the silent and early sound film eras.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3287683f48190975a016e6333882c |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6a89988190a44515f1ca08099f |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:09 a.m.