Triple
T12325510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thoma Bravo |
E293819
|
entity |
| Predicate | hasPartner |
P1136
|
FINISHED |
| Object | Orlando Bravo |
E975142
|
NE FINISHED |
How this triple was built (2 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: Orlando Bravo | Statement: [Thoma Bravo, hasPartner, Orlando Bravo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orlando Bravo Context triple: [Thoma Bravo, hasPartner, Orlando Bravo]
-
A.
Orlando Bravo
chosen
Orlando Bravo is a Puerto Rican-born billionaire investor and co-founder of Thoma Bravo, a leading private equity firm known for its focus on software and technology companies.
-
B.
Elton Ortiz
Elton Ortiz is a thoughtful and intelligent teen survivor in the television series "The Walking Dead: World Beyond," known for his scientific curiosity and distinctive vintage style.
-
C.
Óscar Ortiz
Óscar Ortiz is a Salvadoran politician who served as vice president of El Salvador and has been a prominent figure in the country's leftist political movement.
-
D.
Manny Diaz
Manny Diaz is an American politician and attorney who served as the mayor of Miami and later as Florida’s Commissioner of Education.
-
E.
Manny Diaz
Manny Diaz is an American college football coach known for his defensive expertise and previous head coaching stint at the University of Miami.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4e7e588190b37e2413bc649198 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a9f708081908c052333c3b7df4c |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.