Triple
T18261698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Center Stage |
E437372
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Laurence Mark |
—
|
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: Laurence Mark | Statement: [Center Stage, producer, Laurence Mark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurence Mark Context triple: [Center Stage, producer, Laurence Mark]
-
A.
Laurence Mark
chosen
Laurence Mark is an American film and television producer known for projects such as "Jerry Maguire," "Dreamgirls," and numerous other major Hollywood productions.
-
B.
Geoffrey Massey
Geoffrey Massey was a prominent Canadian architect known for his influential modernist designs, including major educational and civic projects in British Columbia.
-
C.
Laurence Barnes
Laurence Barnes, better known by his callsign "Prophet," is the nanosuit-enhanced super-soldier who serves as the central protagonist in the Crysis video game series.
-
D.
Laurence Barnes
Laurence Barnes is a religious figure known as the Prophet, regarded by followers as a divinely inspired messenger.
-
E.
Lawrence Lacks
Lawrence Lacks is the eldest son of Henrietta Lacks, whose immortal HeLa cells became foundational to modern biomedical research.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff76a1208190abbe6ab8720ed154 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.