Triple
T13109281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mick |
E310928
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Carla Jimenez
Carla Jimenez is an American actress best known for her comedic television roles, including a main role on the sitcom "The Mick."
|
E1065031
|
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: Carla Jimenez | Statement: [The Mick, starring, Carla Jimenez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carla Jimenez Context triple: [The Mick, starring, Carla Jimenez]
-
A.
Carla Azcárraga
Carla Azcárraga is a member of the prominent Mexican Azcárraga family, known for its major influence in the media and entertainment industry.
-
B.
Silvia Lemus
Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
-
C.
Carla Espinosa
Carla Espinosa is a compassionate and assertive nurse from the television series "Scrubs," known for her strong moral compass and no-nonsense attitude.
-
D.
Martina Zorreguieta
Martina Zorreguieta is an Argentine woman known primarily as one of the daughters of former Argentine agriculture minister Jorge Zorreguieta and the sister of Queen Máxima of the Netherlands.
-
E.
María Romo
María Romo is a Spanish actress known for her work in film and television.
- 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: Carla Jimenez Triple: [The Mick, starring, Carla Jimenez]
Generated description
Carla Jimenez is an American actress best known for her comedic television roles, including a main role on the sitcom "The Mick."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carla Jimenez Target entity description: Carla Jimenez is an American actress best known for her comedic television roles, including a main role on the sitcom "The Mick."
-
A.
Carla Azcárraga
Carla Azcárraga is a member of the prominent Mexican Azcárraga family, known for its major influence in the media and entertainment industry.
-
B.
Silvia Lemus
Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
-
C.
Carla Espinosa
Carla Espinosa is a compassionate and assertive nurse from the television series "Scrubs," known for her strong moral compass and no-nonsense attitude.
-
D.
Martina Zorreguieta
Martina Zorreguieta is an Argentine woman known primarily as one of the daughters of former Argentine agriculture minister Jorge Zorreguieta and the sister of Queen Máxima of the Netherlands.
-
E.
María Romo
María Romo is a Spanish actress known for her work in film and television.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d3cf3881908fdfc56bd31e5fe2 |
completed | May 3, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69f7c18a032481909fc1e97883062170 |
completed | May 3, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c21231f48190ae6e2bdb2bbc0afd |
completed | May 3, 2026, 9:45 p.m. |
Created at: April 9, 2026, 9:05 p.m.