Triple
T6278446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glitter |
E140718
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tia Texada |
E140719
|
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: 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.
Tia Texada
chosen
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."
-
B.
Tia
Tia is a feminine given name, often used as a short form of longer names such as Timothea.
-
C.
Clarita
Clarita is a Spanish diminutive form of the given name Clara, often used as an affectionate or familiar variant.
-
D.
Twiggy Ramirez
Twiggy Ramirez is the stage name of Jeordie White, an American bassist and guitarist best known for his long tenure as a key member and songwriter in Marilyn Manson’s band.
-
E.
Tita De la Garza
Tita De la Garza is the passionate, magically gifted protagonist of Laura Esquivel’s novel "Like Water for Chocolate," whose emotions infuse the food she cooks.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063daec108190859d1d5dbafd5b42 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5194e9b3881908188f004c4a03a09 |
completed | March 26, 2026, 11:32 a.m. |
Created at: March 22, 2026, 4:26 p.m.