Triple
T13710163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ana Navarro |
E328748
|
entity |
| Predicate | twitterUsername |
P2943
|
FINISHED |
| Object | ananavarro |
E18129
|
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: ananavarro | Statement: [Ana Navarro, twitterUsername, ananavarro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ananavarro Context triple: [Ana Navarro, twitterUsername, ananavarro]
-
A.
Vicálvaro
Vicálvaro is a district in the southeast of Madrid, Spain, known for its residential character and educational institutions, including a campus of Rey Juan Carlos University.
-
B.
Narvarte
Narvarte is a centrally located neighborhood in Mexico City known for its residential character, mid-20th-century architecture, and growing array of restaurants, cafes, and nightlife.
-
C.
Navarrenx
Navarrenx is a historic fortified town in southwestern France, known for its well-preserved ramparts and strategic position in the Béarn region.
-
D.
Nuñomoral
Nuñomoral is a rural municipality in the province of Cáceres, Extremadura, Spain, known for its traditional architecture and location within the mountainous Las Hurdes region.
-
E.
Navarro
chosen
Navarro is a Spanish surname borne by numerous notable individuals across fields such as film, sports, politics, and academia.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d52b3708190ae0945e65b271556 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.