Triple
T977006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Women (1994 film) |
E21075
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Trini Alvarado
Trini Alvarado is an American actress known for her nuanced performances in films such as "Little Women" (1994) and "The Frighteners."
|
E132373
|
NE FINISHED |
How this triple was built (4 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: Trini Alvarado | Statement: [Little Women (1994 film), stars, Trini Alvarado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trini Alvarado Context triple: [Little Women (1994 film), stars, Trini Alvarado]
-
A.
Michelle Navarro
Michelle Navarro is an individual notable enough to be recognized as a prominent bearer of the Navarro surname.
-
B.
Daniela Andrade
Daniela Andrade is a Canadian singer-songwriter and YouTube artist known for her intimate acoustic covers and original indie-pop music.
-
C.
Elizabeth Avellán
Elizabeth Avellán is a Venezuelan-American film producer known for co-founding Troublemaker Studios and producing many of Robert Rodriguez’s films.
-
D.
Ivana Baquero
Ivana Baquero is a Spanish actress best known for her acclaimed performance as the young protagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
-
E.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Trini Alvarado Triple: [Little Women (1994 film), stars, Trini Alvarado]
Generated description
Trini Alvarado is an American actress known for her nuanced performances in films such as "Little Women" (1994) and "The Frighteners."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trini Alvarado Target entity description: Trini Alvarado is an American actress known for her nuanced performances in films such as "Little Women" (1994) and "The Frighteners."
-
A.
Michelle Navarro
Michelle Navarro is an individual notable enough to be recognized as a prominent bearer of the Navarro surname.
-
B.
Daniela Andrade
Daniela Andrade is a Canadian singer-songwriter and YouTube artist known for her intimate acoustic covers and original indie-pop music.
-
C.
Elizabeth Avellán
Elizabeth Avellán is a Venezuelan-American film producer known for co-founding Troublemaker Studios and producing many of Robert Rodriguez’s films.
-
D.
Ivana Baquero
Ivana Baquero is a Spanish actress best known for her acclaimed performance as the young protagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
-
E.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
- F. None of above. chosen
Provenance (5 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46344048190b7a13b8f3ad9f455 |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5e9b74e481908c7d8256bd180d73 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f9a8a648190b2e677db032be07c |
completed | March 7, 2026, 5:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5feabffc819082f5d28f9628558f |
completed | March 7, 2026, 5:27 p.m. |
Created at: March 1, 2026, 7:40 p.m.