Triple
T3240904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Three Caballeros |
E67962
|
entity |
| Predicate | liveActionPerformer |
P9616
|
FINISHED |
| Object |
Dora Luz
Dora Luz was a Mexican singer and actress best known for her musical performances in classic Disney films of the 1940s.
|
E339855
|
NE FINISHED |
How this triple was built (4 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: Dora Luz | Statement: [The Three Caballeros, liveActionPerformer, Dora Luz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dora Luz Context triple: [The Three Caballeros, liveActionPerformer, Dora Luz]
-
A.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
-
B.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
-
C.
Dora Riparia
Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
-
D.
Hilda
Hilda is a central character in Nathaniel Hawthorne’s novel "The Marble Faun," depicted as a pure-hearted American artist living in Rome whose moral idealism contrasts with the story’s darker themes.
-
E.
Hilda
Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dora Luz Triple: [The Three Caballeros, liveActionPerformer, Dora Luz]
Generated description
Dora Luz was a Mexican singer and actress best known for her musical performances in classic Disney films of the 1940s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dora Luz Target entity description: Dora Luz was a Mexican singer and actress best known for her musical performances in classic Disney films of the 1940s.
-
A.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
-
B.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
-
C.
Dora Riparia
Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
-
D.
Hilda
Hilda is a central character in Nathaniel Hawthorne’s novel "The Marble Faun," depicted as a pure-hearted American artist living in Rome whose moral idealism contrasts with the story’s darker themes.
-
E.
Hilda
Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
- F. None of above. chosen
Provenance (5 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef6430081909084589f6eea5c7e |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b27754492c819099bab9a2a3344561 |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b27a0c1f74819087bd0aa869eefd7b |
completed | March 12, 2026, 8:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27acca734819083bdd7713b10ff1a |
completed | March 12, 2026, 8:35 a.m. |
Created at: March 8, 2026, 3:08 p.m.