Triple
T20987408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The GEO Group |
E516926
|
entity |
| Predicate | CEO |
P537
|
FINISHED |
| Object |
Jose Gordo
Jose Gordo is a business executive best known for leading The GEO Group, a major private prison and detention facility operator.
|
E1460726
|
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: Jose Gordo | Statement: [The GEO Group, CEO, Jose Gordo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jose Gordo Context triple: [The GEO Group, CEO, Jose Gordo]
-
A.
Antonio Trashorras
Antonio Trashorras is a Spanish screenwriter best known for his work in horror cinema, including co-writing Guillermo del Toro’s acclaimed film "The Devil’s Backbone."
-
B.
Alfrédo
Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
-
C.
Ramón
Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
D.
Wilder Guisao
Wilder Guisao is a Colombian professional footballer known for playing as a winger for clubs in South America and abroad.
-
E.
Fermín
Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
- 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: Jose Gordo Triple: [The GEO Group, CEO, Jose Gordo]
Generated description
Jose Gordo is a business executive best known for leading The GEO Group, a major private prison and detention facility operator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jose Gordo Target entity description: Jose Gordo is a business executive best known for leading The GEO Group, a major private prison and detention facility operator.
-
A.
Antonio Trashorras
Antonio Trashorras is a Spanish screenwriter best known for his work in horror cinema, including co-writing Guillermo del Toro’s acclaimed film "The Devil’s Backbone."
-
B.
Alfrédo
Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
-
C.
Ramón
Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
D.
Wilder Guisao
Wilder Guisao is a Colombian professional footballer known for playing as a winger for clubs in South America and abroad.
-
E.
Fermín
Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe3fbac819086d3079aaddca5b1 |
completed | April 21, 2026, 4:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092fc795ec81909f9f96498f7b5f3a |
completed | May 17, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_6a0930a5cffc8190a7d1cc19e5cacf49 |
completed | May 17, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093133c77c8190a9e0326980c7717f |
completed | May 17, 2026, 3:08 a.m. |
Created at: April 16, 2026, 1:49 p.m.