Triple
T10544710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Rodriguez |
E248787
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mayte
Mayte is the given first name of American actress Michelle Rodriguez, known for her roles in action films and the Fast & Furious franchise.
|
E872253
|
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: Mayte | Statement: [Michelle Rodriguez, givenName, Mayte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayte Context triple: [Michelle Rodriguez, givenName, Mayte]
-
A.
Mama Cocha
Mama Cocha is a sea and water goddess in Inca mythology, revered as a protective mother figure of the oceans and sailors.
-
B.
Maraita
Maraita is a small municipality located in the Francisco Morazán Department of central Honduras.
-
C.
Paquisha
Paquisha is a locality in southeastern Ecuador known primarily for giving its name to the 1981 Paquisha War between Ecuador and Peru.
-
D.
Sheyla
Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
-
E.
Mahahual
Mahahual is a small coastal village and emerging tourist destination on Mexico’s Caribbean coast, known for its beaches, diving, and proximity to the Mesoamerican Barrier Reef.
- 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: Mayte Triple: [Michelle Rodriguez, givenName, Mayte]
Generated description
Mayte is the given first name of American actress Michelle Rodriguez, known for her roles in action films and the Fast & Furious franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mayte Target entity description: Mayte is the given first name of American actress Michelle Rodriguez, known for her roles in action films and the Fast & Furious franchise.
-
A.
Mama Cocha
Mama Cocha is a sea and water goddess in Inca mythology, revered as a protective mother figure of the oceans and sailors.
-
B.
Maraita
Maraita is a small municipality located in the Francisco Morazán Department of central Honduras.
-
C.
Paquisha
Paquisha is a locality in southeastern Ecuador known primarily for giving its name to the 1981 Paquisha War between Ecuador and Peru.
-
D.
Sheyla
Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
-
E.
Mahahual
Mahahual is a small coastal village and emerging tourist destination on Mexico’s Caribbean coast, known for its beaches, diving, and proximity to the Mesoamerican Barrier Reef.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d519128cac819086c93f3bab854ac2 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b23b2988190b536d5ecb76298ff |
completed | April 10, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69d94ca07da481908f2d546f8ddc9326 |
completed | April 10, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d94e8687bc819082b672a64bf85500 |
completed | April 10, 2026, 7:24 p.m. |
Created at: April 6, 2026, 12:33 p.m.