Triple
T519668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felipe de Neve |
E10785
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Felipe |
E10785
|
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: Felipe | Statement: [Felipe de Neve, givenName, Felipe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felipe Context triple: [Felipe de Neve, givenName, Felipe]
-
A.
Felipe de Neve
chosen
Felipe de Neve was an 18th-century Spanish colonial governor of California best known for establishing the city of Los Angeles.
-
B.
Francisco
Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
-
C.
Guillermo
Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
-
D.
Ferdinand
Ferdinand is a masculine given name of Germanic origin historically borne by numerous European nobles and monarchs.
-
E.
José
José is the given first name of Major League Baseball manager and former player Alex Cora.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1a00a6c8190a62dc7c901c2f2ff |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5089817248190b53d78e5b937026b |
completed | March 2, 2026, 3:48 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.