Triple
T1264998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francisco Pizarro |
E12580
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Francisco |
E62786
|
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: Francisco | Statement: [Francisco Pizarro, givenName, Francisco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francisco Context triple: [Francisco Pizarro, givenName, Francisco]
-
A.
Francisco
chosen
Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
-
B.
Manuel
Manuel is the given name of Manny Ramirez, the former Major League Baseball star known for his powerful hitting and tenure with the Boston Red Sox.
-
C.
José
José is the given first name of Major League Baseball manager and former player Alex Cora.
-
D.
Pedro Messía de la Cerda
Pedro Messía de la Cerda was an 18th-century Spanish naval officer and colonial administrator who served as a prominent viceroy in Spanish South America.
-
E.
Guillermo
Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4c03573a48190b5851f0a734c2d6f |
completed | March 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08a3865c819093a6ffd1a8c74e2e |
completed | March 8, 2026, 5:26 a.m. |
Created at: March 1, 2026, 7:50 p.m.