Triple
T5814505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brice Marden |
E128951
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Brice |
E387343
|
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: Brice | Statement: [Brice Marden, givenName, Brice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brice Context triple: [Brice Marden, givenName, Brice]
-
A.
Brice
chosen
Brice is a central character in Tyler Perry's film "Temptation: Confessions of a Marriage Counselor," portrayed as the devoted but imperfect husband whose relationship is tested by infidelity and ambition.
-
B.
Blaise
Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
-
C.
Blaise
The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
-
D.
Brice Mack
Brice Mack was an American animator, storyboard artist, and background painter best known for his work at Walt Disney Studios during the Golden Age of animation.
-
E.
Gilles
Gilles is a masculine given name of French origin, commonly used as a variant of the name Gil or Giles.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03361c79081908baf872821e79983 |
completed | March 22, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0984c5f14819096dfabce4a83e332 |
completed | March 23, 2026, 1:33 a.m. |
Created at: March 22, 2026, 3:53 p.m.