Triple
T16229195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Me |
E393933
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Tanya Roberts |
E416010
|
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: Tanya Roberts | Statement: [American Me, hasCastMember, Tanya Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanya Roberts Context triple: [American Me, hasCastMember, Tanya Roberts]
-
A.
Tanya Roberts
chosen
Tanya Roberts was an American actress and model best known for her roles in the James Bond film "A View to a Kill," the TV series "Charlie's Angels," and "That '70s Show."
-
B.
Lili Taylor
Lili Taylor is an American actress known for her versatile performances in independent films and television series, including notable roles in projects like "Mystic Pizza," "I Shot Andy Warhol," and "Six Feet Under."
-
C.
Lauren Holly
Lauren Holly is an American-Canadian actress best known for her roles in films like "Dumb and Dumber" and the TV series "NCIS."
-
D.
Katharine Ross
Katharine Ross is an American actress best known for her acclaimed role as Elaine Robinson in the classic 1967 film "The Graduate."
-
E.
Cheryl Ladd
Cheryl Ladd is
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2889688190ac04e4e9479cabf4 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d447f5cc81908757869f2d1e94a1 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:03 a.m.