Triple
T15909122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janis Ian |
E385799
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Lizzy Caplan |
E187119
|
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: Lizzy Caplan | Statement: [Janis Ian, portrayedBy, Lizzy Caplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lizzy Caplan Context triple: [Janis Ian, portrayedBy, Lizzy Caplan]
-
A.
Lizzy Caplan
chosen
Lizzy Caplan is an American actress known for her sharp, often comedic roles in film and television, including standout performances in projects like "Mean Girls," "Masters of Sex," and "Cloverfield."
-
B.
Zoe Harrelson
Zoe Harrelson is one of the daughters of American actor Woody Harrelson.
-
C.
Cady Huffman
Cady Huffman is a Tony Award–winning American actress and singer best known for her work in musical theatre, including her acclaimed performance in Mel Brooks’ hit Broadway musical "The Producers."
-
D.
Liv Hewson
Liv Hewson is an Australian actor and playwright known for roles in series like Santa Clarita Diet and Yellowjackets.
-
E.
Lauren Tom
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.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565d2f048190a40379ceae00411a |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.