Triple
T16148060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thirteen Reasons Why |
E391837
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Christian Navarro |
E1101810
|
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: Christian Navarro | Statement: [Thirteen Reasons Why, castMember, Christian Navarro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Navarro Context triple: [Thirteen Reasons Why, castMember, Christian Navarro]
-
A.
Christian Navarro
chosen
Christian Navarro is an American actor and voice artist known for his work in film, television, and commercials.
-
B.
Fabián Navarro
Fabián Navarro is a contemporary Spanish-language writer and poet known for his experimental, digitally influenced literature and active presence in literary performance scenes.
-
C.
Xavier Navarro
Xavier Navarro is a person notable enough to be recognized as a distinguished bearer of the surname Navarro.
-
D.
Christian Gómez
Christian Gómez is an Argentine attacking midfielder best known in the United States for his standout play with D.C. United in Major League Soccer.
-
E.
Javier Carrasco
Javier Carrasco is a Spanish former professional tennis player who competed on the ATP Tour during the 1980s.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9551e081908391061b092ff31b |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a9ebf08190aa21cdff051f4ba2 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.