Triple
T12516323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lzip |
E299199
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Antonio Diaz Diaz
Antonio Diaz Diaz is a software developer best known for creating data compression tools such as lzip.
|
E1077906
|
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: Antonio Diaz Diaz | Statement: [lzip, developer, Antonio Diaz Diaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antonio Diaz Diaz Context triple: [lzip, developer, Antonio Diaz Diaz]
-
A.
Guillermo Díaz
Guillermo Díaz is an American actor best known for his comedic and character roles in film and television, including his breakout performance in the stoner comedy "Half Baked."
-
B.
Antonio Rivera Rodríguez
Antonio Rivera Rodríguez was a notable Puerto Rican figure after whom the main airport on the island of Vieques is named.
-
C.
Julio Díaz
Julio Díaz is a Mexican former professional boxer and two-time IBF lightweight world champion known for his technical skill and resilience in the ring.
-
D.
Antonio Reynoso
Antonio Reynoso is an American politician and community advocate who serves as the Borough President of Brooklyn, New York City.
-
E.
Alonso Martínez
Alonso Martínez is a Madrid Metro station and major transport interchange located near the Plaza de Alonso Martínez in central Madrid.
- 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: Antonio Diaz Diaz Triple: [lzip, developer, Antonio Diaz Diaz]
Generated description
Antonio Diaz Diaz is a software developer best known for creating data compression tools such as lzip.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antonio Diaz Diaz Target entity description: Antonio Diaz Diaz is a software developer best known for creating data compression tools such as lzip.
-
A.
Guillermo Díaz
Guillermo Díaz is an American actor best known for his comedic and character roles in film and television, including his breakout performance in the stoner comedy "Half Baked."
-
B.
Antonio Rivera Rodríguez
Antonio Rivera Rodríguez was a notable Puerto Rican figure after whom the main airport on the island of Vieques is named.
-
C.
Julio Díaz
Julio Díaz is a Mexican former professional boxer and two-time IBF lightweight world champion known for his technical skill and resilience in the ring.
-
D.
Antonio Reynoso
Antonio Reynoso is an American politician and community advocate who serves as the Borough President of Brooklyn, New York City.
-
E.
Alonso Martínez
Alonso Martínez is a Madrid Metro station and major transport interchange located near the Plaza de Alonso Martínez in central Madrid.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541f80148190976d1d912fe155d0 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb63c80048190be87b41cdd4ac775 |
completed | May 7, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_69fcc4fa09448190b662af829712e657 |
completed | May 7, 2026, 4:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc5d162c081908750fed589ed2d69 |
completed | May 7, 2026, 5:03 p.m. |
Created at: April 8, 2026, 9:57 p.m.