Triple
T23454277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narciso López |
E567874
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Narciso |
—
|
NE NERFINISHED |
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: Narciso | Statement: [Narciso López, givenName, Narciso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narciso Context triple: [Narciso López, givenName, Narciso]
-
A.
Narciso
chosen
Narciso is a masculine given name of Spanish and Portuguese origin, derived from the Greek mythological figure Narcissus.
-
B.
Narcís
Narcís is a Catalan given name most famously borne by the 19th-century engineer and submarine inventor Narcís Monturiol.
-
C.
San Narciso
San Narciso is a coastal municipality in the province of Zambales in the Philippines, known for its surfing beaches and laid-back rural atmosphere.
-
D.
San Narciso
San Narciso is a fictional Southern California town in Thomas Pynchon’s novel "The Crying of Lot 49," emblematic of postwar suburban sprawl and hidden conspiratorial networks.
-
E.
Narkiss
Narkiss is a Hebrew surname most notably associated with Israeli general Uzi Narkiss, a key commander during the Six-Day War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a695fed08190bfa160e69200546d |
completed | April 29, 2026, 6:35 a.m. |
Created at: April 17, 2026, 5:53 p.m.