Triple
T12248570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Haiti |
E291912
|
entity |
| Predicate | positionHeldBy |
P8
|
FINISHED |
| Object |
Michel Oreste
Michel Oreste was a Haitian politician who briefly served as the country's president during a period of significant political instability in the early 20th century.
|
E988982
|
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: Michel Oreste | Statement: [President of Haiti, positionHeldBy, Michel Oreste]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Oreste Context triple: [President of Haiti, positionHeldBy, Michel Oreste]
-
A.
Jean-Luc Ourgaud
Jean-Luc Ourgaud is a French local politician who serves as the mayor of the suburban commune of Montigny-le-Bretonneux, near Paris.
-
B.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
-
C.
Jean-Claude Olivier
Jean-Claude Olivier is a music producer best known for his work on George Michael’s landmark album "Faith."
-
D.
Henri Ciriani
Henri Ciriani is a Peruvian-born French architect known for his influential modernist housing and museum designs and his significant role in contemporary French architecture.
-
E.
Gilles Taurand
Gilles Taurand is a French screenwriter known for his work on numerous acclaimed films, including the historical drama "Farewell, My Queen."
- 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: Michel Oreste Triple: [President of Haiti, positionHeldBy, Michel Oreste]
Generated description
Michel Oreste was a Haitian politician who briefly served as the country's president during a period of significant political instability in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michel Oreste Target entity description: Michel Oreste was a Haitian politician who briefly served as the country's president during a period of significant political instability in the early 20th century.
-
A.
Jean-Luc Ourgaud
Jean-Luc Ourgaud is a French local politician who serves as the mayor of the suburban commune of Montigny-le-Bretonneux, near Paris.
-
B.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
-
C.
Jean-Claude Olivier
Jean-Claude Olivier is a music producer best known for his work on George Michael’s landmark album "Faith."
-
D.
Henri Ciriani
Henri Ciriani is a Peruvian-born French architect known for his influential modernist housing and museum designs and his significant role in contemporary French architecture.
-
E.
Gilles Taurand
Gilles Taurand is a French screenwriter known for his work on numerous acclaimed films, including the historical drama "Farewell, My Queen."
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc50d808190a3c8d1ada31a6a91 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6555ab68881908813e45548281df3 |
completed | May 2, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69f6566dccc0819085e059c7b0288f6c |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657aa1bf48190a884e0dfce31e30e |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:52 p.m.