Triple
T3385421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carla Gugino |
E71289
|
entity |
| Predicate | name |
P16
|
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: [Carla Gugino, name, Carla Gugino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carla Gugino Context triple: [Carla Gugino, name, 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.
Gina Torres
Gina Torres is an American actress known for her roles in television series such as "Suits," "Firefly," and "Hannibal."
-
D.
Linda Cardellini
Linda Cardellini is an American actress known for her versatile roles in film and television, including prominent performances in "Freaks and Geeks," "ER," "Bloodline," and as Laura Barton in the Marvel Cinematic Universe.
-
E.
Heather Lind
Heather Lind is an American actress known for her work in film, television, and theater, including roles in projects like the indie comedy-drama "Mistress America."
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5ee5e188190912dcea494a12038 |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e5353ec819089d2736493936c46 |
completed | March 13, 2026, 3:02 a.m. |
Created at: March 8, 2026, 3:14 p.m.