Triple
T10703190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boulos family |
E252331
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Anthony Boulos
Anthony Boulos is a member of the prominent Boulos family, known for its influence and standing in business and public life.
|
E881538
|
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: Anthony Boulos | Statement: [Boulos family, hasMember, Anthony Boulos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony Boulos Context triple: [Boulos family, hasMember, Anthony Boulos]
-
A.
Andre Boulos
Andre Boulos is a member of the prominent Boulos family, known for its influence and recognition in business and public life.
-
B.
Pedro Malan
Pedro Malan is a Brazilian economist and former finance minister known for his central role in stabilizing Brazil’s economy during the 1990s.
-
C.
Caroline Joblau
Caroline Joblau was the wife of French painter Henri Matisse and the mother of their daughter Marguerite Matisse.
-
D.
Michael Boulos
Michael Boulos is a Lebanese-American business executive and heir to the Nigeria-based conglomerate Boulos Enterprises, known publicly as the husband of Tiffany Trump.
-
E.
Laurent Vieira de Mello
Laurent Vieira de Mello is the son of the late Brazilian diplomat and United Nations High Commissioner for Human Rights Sérgio Vieira de Mello.
- 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: Anthony Boulos Triple: [Boulos family, hasMember, Anthony Boulos]
Generated description
Anthony Boulos is a member of the prominent Boulos family, known for its influence and standing in business and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anthony Boulos Target entity description: Anthony Boulos is a member of the prominent Boulos family, known for its influence and standing in business and public life.
-
A.
Andre Boulos
Andre Boulos is a member of the prominent Boulos family, known for its influence and recognition in business and public life.
-
B.
Pedro Malan
Pedro Malan is a Brazilian economist and former finance minister known for his central role in stabilizing Brazil’s economy during the 1990s.
-
C.
Caroline Joblau
Caroline Joblau was the wife of French painter Henri Matisse and the mother of their daughter Marguerite Matisse.
-
D.
Michael Boulos
Michael Boulos is a Lebanese-American business executive and heir to the Nigeria-based conglomerate Boulos Enterprises, known publicly as the husband of Tiffany Trump.
-
E.
Laurent Vieira de Mello
Laurent Vieira de Mello is the son of the late Brazilian diplomat and United Nations High Commissioner for Human Rights Sérgio Vieira de Mello.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fddd28d481908abc5c1d4e5a9f3e |
completed | April 9, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbad110d9481908c3c0873424ec616 |
completed | April 12, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69dbaeb211088190a9118c71918584e5 |
completed | April 12, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbaf7c999c819097a8cdf5bd82f648 |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 8, 2026, 9:12 p.m.