Triple
T10527476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lopez vs Lopez |
E248343
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Al Madrigal
Al Madrigal is an American stand-up comedian and actor known for his work on The Daily Show and various television comedies.
|
E869502
|
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: Al Madrigal | Statement: [Lopez vs Lopez, starring, Al Madrigal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Madrigal Context triple: [Lopez vs Lopez, starring, Al Madrigal]
-
A.
Madrigal
Madrigal is a novel by British author John Gardner that showcases his distinctive blend of literary sophistication and inventive storytelling.
-
B.
Antonio Madrigal
Antonio Madrigal is the youngest member of the magical Madrigal family in Disney's film "Encanto," known for his special ability to communicate with animals.
-
C.
Bruno Madrigal
Bruno Madrigal is a reclusive, misunderstood uncle with the magical power of seeing the future in Disney’s animated film "Encanto."
-
D.
Usnavi de la Vega
Usnavi de la Vega is the bodega owner and central narrator of Lin-Manuel Miranda’s musical "In the Heights," whose story anchors the show’s portrait of a tight-knit Latino community in Washington Heights.
-
E.
Ignacio
Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
- 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: Al Madrigal Triple: [Lopez vs Lopez, starring, Al Madrigal]
Generated description
Al Madrigal is an American stand-up comedian and actor known for his work on The Daily Show and various television comedies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Madrigal Target entity description: Al Madrigal is an American stand-up comedian and actor known for his work on The Daily Show and various television comedies.
-
A.
Madrigal
Madrigal is a novel by British author John Gardner that showcases his distinctive blend of literary sophistication and inventive storytelling.
-
B.
Antonio Madrigal
Antonio Madrigal is the youngest member of the magical Madrigal family in Disney's film "Encanto," known for his special ability to communicate with animals.
-
C.
Bruno Madrigal
Bruno Madrigal is a reclusive, misunderstood uncle with the magical power of seeing the future in Disney’s animated film "Encanto."
-
D.
Usnavi de la Vega
Usnavi de la Vega is the bodega owner and central narrator of Lin-Manuel Miranda’s musical "In the Heights," whose story anchors the show’s portrait of a tight-knit Latino community in Washington Heights.
-
E.
Ignacio
Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f5ec348190875c8c877e70ba4a |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e31350c8190a7493cdc33cc450a |
completed | April 10, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69d9107e8b94819086ebba1675a0db54 |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911a16b1481909197b00c30de48c4 |
completed | April 10, 2026, 3:05 p.m. |
Created at: April 6, 2026, 12:29 p.m.