Triple
T13027728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What’s the 411? |
E326350
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mark Morales |
E1070053
|
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: Mark Morales | Statement: [What’s the 411?, producer, Mark Morales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Morales Context triple: [What’s the 411?, producer, Mark Morales]
-
A.
Mark Morales
Mark Morales is a comic book writer best known for his work on the series "Uproar."
-
B.
Mark Morales
chosen
Mark Morales, better known as Prince Markie Dee, was an American rapper, producer, and member of the Fat Boys who later became a successful R&B and hip-hop producer.
-
C.
Alex Garcia
Alex Garcia is a film producer known for his work on major Hollywood blockbusters, including entries in the MonsterVerse franchise.
-
D.
Tony Morales
Tony Morales is a film and television composer known for creating suspenseful, atmospheric scores, including the music for the crime thriller "The Bag Man."
-
E.
Daniel Morales
Daniel Morales is the reckless yet highly skilled Marseille taxi driver and protagonist of the French action-comedy Taxi film series.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1af38248190a85d0fa3a26c3d08 |
completed | May 6, 2026, 8:16 p.m. |
Created at: April 9, 2026, 8:53 p.m.