Triple
T21994191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tell Me a Story |
E543161
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Dania Ramirez |
—
|
NE NERFINISHED |
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: Dania Ramirez | Statement: [Tell Me a Story, stars, Dania Ramirez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dania Ramirez Context triple: [Tell Me a Story, stars, Dania Ramirez]
-
A.
Dania Ramirez
chosen
Dania Ramirez is a Dominican-American actress known for her roles in television series such as Heroes, Entourage, and Devious Maids.
-
B.
Daphne Zuniga
Daphne Zuniga is an American actress best known for her roles in the sci-fi parody film "Spaceballs" and the television series "Melrose Place."
-
C.
Marisa Ramirez
Marisa Ramirez is an American actress best known for her role as Detective Maria Baez on the television series "Blue Bloods."
-
D.
Ariel Rios
Ariel Rios was a U.S. federal law enforcement agent with the Bureau of Alcohol, Tobacco, and Firearms who was killed in the line of duty and later honored by having a federal building named after him.
-
E.
Ariel Perez
Ariel Perez is a musician known for performing with the band Born of You.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127639bf48190800b3fa3c1527983 |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:17 p.m.