Triple
T3290299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregorio Cortez |
E69083
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Juni Cortez |
E73070
|
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: Juni Cortez | Statement: [Gregorio Cortez, child, Juni Cortez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juni Cortez Context triple: [Gregorio Cortez, child, Juni Cortez]
-
A.
Juni Cortez
chosen
Juni Cortez is a young, tech-savvy secret agent and one of the sibling protagonists in the Spy Kids film series.
-
B.
Carmen Cortez
Carmen Cortez is a resourceful young spy and one of the two sibling protagonists in the Spy Kids film series.
-
C.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
D.
Camile Velasco
Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
-
E.
Barbara Luna
Barbara Luna is an American actress known for her numerous film and television roles from the 1950s onward, including appearances in productions such as the historical drama "Che!" and the original "Star Trek" series.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb05bd6b08190bcb9f0e5da82bc21 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3cfec98819094208d2cb6e459ea |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:10 p.m.