Triple
T15251350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John the Good |
E364524
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Teresa Lourenço |
E364520
|
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: Teresa Lourenço | Statement: [John the Good, mother, Teresa Lourenço]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teresa Lourenço Context triple: [John the Good, mother, Teresa Lourenço]
-
A.
Teresa Lourenço
chosen
Teresa Lourenço was a Portuguese noblewoman best known as the mother of King John I of Portugal, founder of the Avis dynasty.
-
B.
Teresa Ribeiro
Teresa Ribeiro is a Portuguese diplomat and media freedom advocate who serves as the OSCE Representative on Freedom of the Media, promoting and monitoring compliance with press freedom commitments across member states.
-
C.
Madalena Gusmão
Madalena Gusmão is an individual known primarily as the child of José Alexandre.
-
D.
Lúcia Moniz
Lúcia Moniz is a Portuguese actress and singer best known internationally for her role as Aurelia in the romantic comedy film "Love Actually."
-
E.
Maria João Leal de Sousa
Maria João Leal de Sousa is the Brazilian-born mother of actress Jordana Brewster, known for her work as a former swimsuit model.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f728648190b2c86e4528542b65 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef893e73c8190804c14fa1890ac8b |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:13 a.m.