Triple
T2096447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Alexandre |
E32791
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Daniel Gusmão
Daniel Gusmão is a person known primarily as the child of José Alexandre.
|
E32791
|
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: Daniel Gusmão | Statement: [José Alexandre, hasChild, Daniel Gusmão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Gusmão Context triple: [José Alexandre, hasChild, Daniel Gusmão]
-
A.
José Alexandre
José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
-
B.
José Resende
José Resende is a Brazilian sculptor known for his innovative use of industrial materials and significant contributions to contemporary art in Brazil.
-
C.
Jorge Moreira
Jorge Moreira is a Brazilian architect and artist recognized as a distinguished graduate of the Escola Nacional de Belas Artes.
-
D.
Jorge Machado Moreira
Jorge Machado Moreira was a prominent Brazilian modernist architect and urban planner known for his influential role in mid-20th-century Brazilian architecture.
-
E.
Moraes Zogoiby
Moraes Zogoiby is the physically deformed, fast-aging narrator and protagonist of Salman Rushdie’s novel "The Moor’s Last Sigh," whose life story reflects the tumultuous history and cultural hybridity of modern India.
- 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: Daniel Gusmão Triple: [José Alexandre, hasChild, Daniel Gusmão]
Generated description
Daniel Gusmão is a person known primarily as the child of José Alexandre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Gusmão Target entity description: Daniel Gusmão is a person known primarily as the child of José Alexandre.
-
A.
José Alexandre
chosen
José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
-
B.
José Resende
José Resende is a Brazilian sculptor known for his innovative use of industrial materials and significant contributions to contemporary art in Brazil.
-
C.
Jorge Moreira
Jorge Moreira is a Brazilian architect and artist recognized as a distinguished graduate of the Escola Nacional de Belas Artes.
-
D.
Jorge Machado Moreira
Jorge Machado Moreira was a prominent Brazilian modernist architect and urban planner known for his influential role in mid-20th-century Brazilian architecture.
-
E.
Moraes Zogoiby
Moraes Zogoiby is the physically deformed, fast-aging narrator and protagonist of Salman Rushdie’s novel "The Moor’s Last Sigh," whose life story reflects the tumultuous history and cultural hybridity of modern India.
- F. None of above.
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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba9b1f048190b82adfb7d8814173 |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae518d29d4819090aa2a1c6fc7304d |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae522f0394819087a7e7d9c6ca354c |
completed | March 9, 2026, 4:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5316acf881908dde9d83c36c8fd0 |
completed | March 9, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:43 p.m.