Triple
T2129453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sin City |
E46502
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Carla Gugino |
E71289
|
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: Carla Gugino | Statement: [Sin City, stars, Carla Gugino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carla Gugino Context triple: [Sin City, stars, Carla Gugino]
-
A.
Carla Gugino
chosen
Carla Gugino is an American actress known for her versatile film and television roles, including prominent performances in projects like "Spy Kids," "Sin City," and "The Haunting of Hill House."
-
B.
Karen Rodriguez
Karen Rodriguez is an actress known for her role in the television series "Swarm."
-
C.
Maggie Siff
Maggie Siff is an American actress best known for her television roles in series such as Mad Men, Sons of Anarchy, and Billions.
-
D.
Ali Larter
Ali Larter is an American actress and former model best known for her roles in films like "Final Destination" and "Legally Blonde" and the TV series "Heroes."
-
E.
Selma Blair
Selma Blair is an American actress known for her roles in films such as "Cruel Intentions," "Legally Blonde," and the "Hellboy" series, as well as for her public advocacy following her multiple sclerosis diagnosis.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb77ccc4819087bee5dbb91b5ae8 |
completed | March 7, 2026, 5:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6533c7f081909860c89a2a53ad49 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:44 p.m.