Triple
T14586076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabela Madrigal |
E342318
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Madrigal |
E1081222
|
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: Madrigal | Statement: [Isabela Madrigal, familyName, Madrigal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madrigal Context triple: [Isabela Madrigal, familyName, Madrigal]
-
A.
Madrigal
Madrigal is a novel by British author John Gardner that showcases his distinctive blend of literary sophistication and inventive storytelling.
-
B.
Madrigal
chosen
Madrigal is the magical Colombian family at the center of Disney's animated film "Encanto," known for its members' extraordinary gifts and their enchanted house, the Casita.
-
C.
Al Madrigal
Al Madrigal is an American stand-up comedian and actor known for his work on The Daily Show and various television comedies.
-
D.
Sorraia
Sorraia is a river in central Portugal that flows through the Ribatejo region before joining the Tagus River.
-
E.
Zerega
Zerega is a residential and industrial neighborhood in the eastern Bronx, New York City, known for its proximity to Westchester Creek and its mix of row houses, warehouses, and small businesses.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb421bb308190a457425429ef6aa5 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9167b888190abb8f301b0c7c55b |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:24 a.m.