Triple
T13611074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chita Rivera |
E325187
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Figueroa del Rivero
Figueroa del Rivero is the birth surname of legendary American Broadway actress, singer, and dancer Chita Rivera.
|
E1051086
|
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: Figueroa del Rivero | Statement: [Chita Rivera, familyName, Figueroa del Rivero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Figueroa del Rivero Context triple: [Chita Rivera, familyName, Figueroa del Rivero]
-
A.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
B.
Echeverría
Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
-
C.
Del Valle
Del Valle is a centrally located, middle- to upper-class residential and commercial neighborhood in Mexico City known for its quiet streets, parks, and urban amenities.
-
D.
Echeandía
Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
-
E.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
- 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: Figueroa del Rivero Triple: [Chita Rivera, familyName, Figueroa del Rivero]
Generated description
Figueroa del Rivero is the birth surname of legendary American Broadway actress, singer, and dancer Chita Rivera.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Figueroa del Rivero Target entity description: Figueroa del Rivero is the birth surname of legendary American Broadway actress, singer, and dancer Chita Rivera.
-
A.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
B.
Echeverría
Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
-
C.
Del Valle
Del Valle is a centrally located, middle- to upper-class residential and commercial neighborhood in Mexico City known for its quiet streets, parks, and urban amenities.
-
D.
Echeandía
Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
-
E.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9a9f9c81909b0a8f4f51c461ae |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f78070e95c819088982e26fe2d8e26 |
completed | May 3, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78157b9cc8190a1855cb9715aa7d5 |
completed | May 3, 2026, 5:09 p.m. |
Created at: April 9, 2026, 9:50 p.m.