Triple
T10305250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Rouch |
E241734
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Jaguar |
E123330
|
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: Jaguar | Statement: [Jean Rouch, notableWork, Jaguar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaguar Context triple: [Jean Rouch, notableWork, Jaguar]
-
A.
Jaguar
chosen
The Jaguar is a powerful, spotted big cat native to the Americas, known for its strength, stealth, and status as an apex predator.
-
B.
Jaguar
"Jaguar" is a critically acclaimed R&B/neo-soul project by singer-songwriter Victoria Monét that showcases her lush vocals, sensual lyricism, and retro-inspired production.
-
C.
Jaguar
Jaguar is a British luxury car manufacturer known for its stylish design, performance-oriented vehicles, and long-standing presence in the premium automotive market.
-
D.
Jiger
Jiger is a giant kaiju monster from the Gamera film series, known for battling the titular turtle-like guardian in the 1970 movie "Gamera vs. Jiger."
-
E.
Jaguar II
"Jaguar II" is a critically acclaimed R&B album by American singer-songwriter Victoria Monét, noted for its lush production, sensual themes, and breakout hit singles.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d309a4508190ad9de37171a64dba |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75026fb0881908e4d16b3fde531c0 |
completed | April 9, 2026, 7:07 a.m. |
Created at: April 6, 2026, 11:46 a.m.