Triple
T5627282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So Many Tears |
E147748
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tony Pizarro |
E540628
|
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: Tony Pizarro | Statement: [So Many Tears, producer, Tony Pizarro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Pizarro Context triple: [So Many Tears, producer, Tony Pizarro]
-
A.
Tony Pizarro
chosen
Tony Pizarro is a hip-hop producer and engineer best known for his work with Tupac Shakur on several landmark tracks and albums in the 1990s.
-
B.
René Echevarria
René Echevarria is an American television writer and producer known for his work on series such as Star Trek: Deep Space Nine, Dark Angel, and Terra Nova.
-
C.
Tomas Lopez
Tomas Lopez was a historical figure known for founding the Colombian town of Chocontá.
-
D.
Christian Gómez
Christian Gómez is an Argentine attacking midfielder best known in the United States for his standout play with D.C. United in Major League Soccer.
-
E.
Carlos Lemos
Carlos Lemos was a Brazilian architect known for his work on prominent modernist projects such as São Paulo’s iconic Copan Building.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02239500c8190ad3035e44c3b0670 |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c107b36b3c819084d7e8fda4de74b7 |
completed | March 23, 2026, 9:28 a.m. |
Created at: March 22, 2026, 3:40 p.m.