Triple
T4683132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Romijn |
E103851
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rebecca Romijn |
E103851
|
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: Rebecca Romijn | Statement: [Rebecca Romijn, name, Rebecca Romijn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebecca Romijn Context triple: [Rebecca Romijn, name, Rebecca Romijn]
-
A.
Rebecca Romijn
chosen
Rebecca Romijn is an American actress and former model best known for roles such as Mystique in the X-Men film series and lead parts in various television shows.
-
B.
Morena Baccarin
Morena Baccarin is a Brazilian-American actress known for her roles in television series such as "Homeland," "Firefly," and "Gotham," as well as the "Deadpool" film franchise.
-
C.
Anna Torv
Anna Torv is an Australian actress best known for her lead role as FBI agent Olivia Dunham in the science fiction television series "Fringe."
-
D.
Kristin Kreuk
Kristin Kreuk is a Canadian actress best known for playing Lana Lang on the television series "Smallville."
-
E.
Carla Gugino
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."
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd638130a08190876c5829c0488758 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03b07664819097d959fde1b0585b |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:16 p.m.