Triple
T13611103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chita Rivera |
E325187
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Zenda |
E569839
|
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: Zenda | Statement: [Chita Rivera, notableWork, Zenda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zenda Context triple: [Chita Rivera, notableWork, Zenda]
-
A.
Zenda
chosen
Zenda is a fictional city in the kingdom of Ruritania, best known as the setting of Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
B.
Jobat
Jobat is a legislative assembly constituency in the Alirajpur district of Madhya Pradesh, India, represented in the state's Vidhan Sabha.
-
C.
Quarazza
Quarazza is a small hamlet in northern Italy associated with the alpine municipality of Macugnaga in the Piedmont region.
-
D.
Urich
Urich is a surname most notably associated with American actor Robert Urich, known for his roles in television series such as "Spenser: For Hire" and "Vega$."
-
E.
Trevour
Trevour is a less common variant spelling of the given name Trevor, typically used as a masculine first name.
- 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_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. |
Created at: April 9, 2026, 9:50 p.m.