Triple
T1225791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glitter |
E26323
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Tia Texada
Tia Texada is an American actress and voice artist known for her roles in film and television, including a notable appearance in the early-2000s music drama "Glitter."
|
E140719
|
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: Tia Texada | Statement: [Glitter, starring, Tia Texada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tia Texada Context triple: [Glitter, starring, Tia Texada]
-
A.
Alexa Vega
Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
-
B.
Carmen Cortez
Carmen Cortez is a resourceful young spy and one of the two sibling protagonists in the Spy Kids film series.
-
C.
Tina
Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
-
D.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
E.
Tita de la Garza
Tita de la Garza is the passionate, emotionally expressive heroine of Laura Esquivel’s novel "Like Water for Chocolate," whose cooking magically channels her feelings.
- 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: Tia Texada Triple: [Glitter, starring, Tia Texada]
Generated description
Tia Texada is an American actress and voice artist known for her roles in film and television, including a notable appearance in the early-2000s music drama "Glitter."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tia Texada Target entity description: Tia Texada is an American actress and voice artist known for her roles in film and television, including a notable appearance in the early-2000s music drama "Glitter."
-
A.
Alexa Vega
Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
-
B.
Carmen Cortez
Carmen Cortez is a resourceful young spy and one of the two sibling protagonists in the Spy Kids film series.
-
C.
Tina
Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
-
D.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
E.
Tita de la Garza
Tita de la Garza is the passionate, emotionally expressive heroine of Laura Esquivel’s novel "Like Water for Chocolate," whose cooking magically channels her feelings.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be39908481908cca21aaf0828415 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a0fcf508190be3668bd55f6f6d6 |
completed | March 7, 2026, 8:26 p.m. |
| NEDg | Description generation | batch_69ac8ab214c48190a60c6604a67f9cf2 |
completed | March 7, 2026, 8:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8b0db83c81909db3c501a435f1d1 |
completed | March 7, 2026, 8:31 p.m. |
Created at: March 1, 2026, 7:47 p.m.