Triple
T2380472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rita Hayworth |
E46299
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Margarita |
E66654
|
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: Margarita | Statement: [Rita Hayworth, givenName, Margarita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margarita Context triple: [Rita Hayworth, givenName, Margarita]
-
A.
Margarita
chosen
Margarita is a feminine given name of Spanish origin, equivalent to "Margaret" in English.
-
B.
The Bottle of Anís del Mono
The Bottle of Anís del Mono is a famous Cubist still-life painting by Juan Gris, notable for its fragmented depiction of a popular Spanish anisette bottle.
-
C.
Vesper
Vesper is the evening star, traditionally identified with the planet Venus as seen in the western sky after sunset.
-
D.
Granadina
Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
-
E.
Mariquita
Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b7c9188190a824e4b469bc1548 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8b23680819085e0c7da7b4da9e1 |
completed | March 9, 2026, 11:02 a.m. |
Created at: March 4, 2026, 7:57 p.m.