Triple
T17977416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Salas |
E449511
|
entity |
| Predicate | familyMember |
P566
|
FINISHED |
| Object |
Rachel Salas
Rachel Salas is a fictional character from the science fiction film "In Time," known as the mother of the protagonist Will Salas.
|
E1360425
|
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: Rachel Salas | Statement: [Will Salas, familyMember, Rachel Salas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Salas Context triple: [Will Salas, familyMember, Rachel Salas]
-
A.
Rachel Salas
Rachel Salas is a central character in the science-fiction film "In Time," portrayed as the wealthy and protective mother of Sylvia Weis.
-
B.
Michelle Salas
Michelle Salas is a Mexican fashion influencer and model, best known as the daughter of singer Luis Miguel and actress Stephanie Salas.
-
C.
Lisa Benavides
Lisa Benavides is an American actress known for her work in independent films and as the wife of actor-director Tim Blake Nelson.
-
D.
Marisa Ramirez
Marisa Ramirez is an American actress best known for her role as Detective Maria Baez on the television series "Blue Bloods."
-
E.
Kathy Saavedra
Kathy Saavedra is a screenwriter best known for her work on the film "Un lugar en el mundo."
- 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: Rachel Salas Triple: [Will Salas, familyMember, Rachel Salas]
Generated description
Rachel Salas is a fictional character from the science fiction film "In Time," known as the mother of the protagonist Will Salas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rachel Salas Target entity description: Rachel Salas is a fictional character from the science fiction film "In Time," known as the mother of the protagonist Will Salas.
-
A.
Rachel Salas
Rachel Salas is a central character in the science-fiction film "In Time," portrayed as the wealthy and protective mother of Sylvia Weis.
-
B.
Michelle Salas
Michelle Salas is a Mexican fashion influencer and model, best known as the daughter of singer Luis Miguel and actress Stephanie Salas.
-
C.
Lisa Benavides
Lisa Benavides is an American actress known for her work in independent films and as the wife of actor-director Tim Blake Nelson.
-
D.
Marisa Ramirez
Marisa Ramirez is an American actress best known for her role as Detective Maria Baez on the television series "Blue Bloods."
-
E.
Kathy Saavedra
Kathy Saavedra is a screenwriter best known for her work on the film "Un lugar en el mundo."
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b200e9108190bcdde5ba7938ba94 |
completed | April 19, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f234d350819090ea00808e01b286 |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f2b5c02c81909053e02939a19162 |
completed | May 15, 2026, 10:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f318fdfc819091b4968731225139 |
completed | May 15, 2026, 10:19 a.m. |
Created at: April 10, 2026, 10:22 a.m.