Triple
T21611475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 24 Hrs |
E533318
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mark Ralph |
—
|
NE NERFINISHED |
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 Ralph | Statement: [24 Hrs, producer, Mark Ralph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Ralph Context triple: [24 Hrs, producer, Mark Ralph]
-
A.
Mark Ralph
chosen
Mark Ralph is a British record producer and mixer known for his work with prominent pop and electronic artists such as Years & Years, Clean Bandit, and Hot Chip.
-
B.
Ralph Simpson
Ralph Simpson is a former professional basketball guard best known for his high-scoring play in the American Basketball Association during the early 1970s.
-
C.
Stephen Carlile
Stephen Carlile is a British stage actor best known for playing Scar in the Broadway and touring productions of Disney’s The Lion King.
-
D.
Robert Philip
Robert Philip is a central character in Disney's film "Enchanted," a pragmatic New York City divorce lawyer who becomes the love interest of the fairy-tale princess Giselle.
-
E.
Grant Richards
Grant Richards was a British publisher and author best known for issuing influential early 20th-century works, including James Joyce’s "Dubliners."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e88f7081909371bc0de2147609 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.