Triple
T3627208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John IV of Portugal |
E76867
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | João |
E337745
|
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: João | Statement: [John IV of Portugal, birthName, João]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: João Context triple: [John IV of Portugal, birthName, João]
-
A.
João
chosen
João is a common Portuguese male given name widely used in Portuguese-speaking countries, equivalent to "John" in English.
-
B.
Sebastião
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
-
C.
António
António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
-
D.
Luiz
Luiz is a given name associated with the German novelist Heinrich Mann.
-
E.
José Alexandre
José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2ddccc881909ae13dca3dd8a11d |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b433270ddc81908080698604009737 |
completed | March 13, 2026, 3:54 p.m. |
Created at: March 8, 2026, 3:23 p.m.