Triple
T15823961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ruins |
E383685
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Laura Ramsey |
E1173197
|
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: Laura Ramsey | Statement: [The Ruins, castMember, Laura Ramsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Ramsey Context triple: [The Ruins, castMember, Laura Ramsey]
-
A.
Laura Ramsey
chosen
Laura Ramsey is an American actress known for her roles in films such as "The Covenant," "She's the Man," and "The Ruins."
-
B.
Rachel Ramras
Rachel Ramras is an American actress, comedian, and voice artist known for her work on animated series such as "The Looney Tunes Show" and for co-creating and starring in the comedy series "Nobodies."
-
C.
Shannon Larkin
Shannon Larkin is an American drummer best known for his powerful, hard-hitting work with the rock band Godsmack.
-
D.
Laura Harrington
Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
-
E.
Lisa Emery
Lisa Emery is an American actress best known for her role as the ruthless heroin distributor Darlene Snell in the Netflix crime drama series "Ozark."
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e5f46748190acb46cc482501307 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb038dac881909ede37fa7766a249 |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 10, 2026, 4:49 a.m.