Triple
T14323919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Joy Luck Club |
E355165
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lauren Tom |
E1102383
|
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: Lauren Tom | Statement: [The Joy Luck Club, starring, Lauren Tom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Tom Context triple: [The Joy Luck Club, starring, Lauren Tom]
-
A.
Lauren Tom
chosen
Lauren Tom is an American actress and voice actress known for her roles in projects like Futurama, The Joy Luck Club, and various animated films and television series.
-
B.
Emily Alyn Lind
Emily Alyn Lind is an American actress known for her roles in film and television, including playing the young Amanda Clarke on the TV series "Revenge."
-
C.
Sarah Miles
Sarah Miles is an English actress known for her roles in films such as "Ryan's Daughter" and "Blow-Up."
-
D.
Kate Donahue
Kate Donahue was the wife of American poet John Berryman, known primarily in relation to his personal life and literary biography.
-
E.
Kathrine Narducci
Kathrine Narducci is an American actress best known for her roles in Italian-American crime dramas, including prominent parts in films and television series such as The Sopranos.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883d1de88190a1e2bf2f1b692197 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64e68118819082448393cc141d96 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:13 a.m.