Triple
T16007407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurley Reyes |
E388253
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Hugo Reyes
Hugo Reyes, nicknamed "Hurley," is a beloved, good-natured lottery winner and survivor from the television series Lost, known for his humor, compassion, and struggles with bad luck.
|
E1265820
|
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: Hugo Reyes | Statement: [Hurley Reyes, fullName, Hugo Reyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugo Reyes Context triple: [Hurley Reyes, fullName, Hugo Reyes]
-
A.
Miguel Rojo
Miguel Rojo is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Rojo.
-
B.
Hugo Ramirez
Hugo Ramirez is a central forensic investigator character in the television crime drama series CSI: Vegas.
-
C.
Hernan Montoya
Hernan Montoya is a person notable enough to be recognized as a bearer of the surname Montoya, though specific widely known achievements or roles are not clearly established.
-
D.
Hugo Verea
Hugo Verea is the son of English-American actress Gabrielle Anwar.
-
E.
Ezequiel Rojas
Ezequiel Rojas was a 19th-century Colombian politician and statesman known for helping shape the country’s liberal political movement.
- 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: Hugo Reyes Triple: [Hurley Reyes, fullName, Hugo Reyes]
Generated description
Hugo Reyes, nicknamed "Hurley," is a beloved, good-natured lottery winner and survivor from the television series Lost, known for his humor, compassion, and struggles with bad luck.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hugo Reyes Target entity description: Hugo Reyes, nicknamed "Hurley," is a beloved, good-natured lottery winner and survivor from the television series Lost, known for his humor, compassion, and struggles with bad luck.
-
A.
Miguel Rojo
Miguel Rojo is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Rojo.
-
B.
Hugo Ramirez
Hugo Ramirez is a central forensic investigator character in the television crime drama series CSI: Vegas.
-
C.
Hernan Montoya
Hernan Montoya is a person notable enough to be recognized as a bearer of the surname Montoya, though specific widely known achievements or roles are not clearly established.
-
D.
Hugo Verea
Hugo Verea is the son of English-American actress Gabrielle Anwar.
-
E.
Ezequiel Rojas
Ezequiel Rojas was a 19th-century Colombian politician and statesman known for helping shape the country’s liberal political movement.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15800e3608190bd3e1123ccc6c326 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019fd7d0648190800540883449cb8e |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a0ea3d3c8190b6c14eea5de3ba5b |
completed | May 11, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a17c0acc8190a556b68fbcefaa76 |
completed | May 11, 2026, 9:29 a.m. |
Created at: April 10, 2026, 4:55 a.m.