Triple
T15977294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nomi |
E387480
|
entity |
| Predicate | hasCodename |
P6015
|
FINISHED |
| Object | 007 |
E101247
|
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: 007 | Statement: [Nomi, hasCodename, 007]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 007 Context triple: [Nomi, hasCodename, 007]
-
A.
007
chosen
007 is the iconic numerical code designation of the fictional British secret agent James Bond in Ian Fleming’s spy franchise.
-
B.
702
702 is an American R&B girl group best known for their late-1990s hits like "Where My Girls At?" and "Steelo."
-
C.
007 Stage
007 Stage is one of the world’s largest and most famous film sound stages, located at Pinewood Studios and closely associated with the James Bond franchise.
-
D.
777
"777" is a funk- and soul-infused song by the R&B duo Silk Sonic, showcasing their retro-inspired sound and playful, high-energy style.
-
E.
7/11
7/11 is a song by American singer Beyoncé, known for its energetic trap-influenced production and playful, dance-focused music video.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157521f6c8190a54023b5ee6fc033 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe8e4124819084c2937f532f5ab5 |
completed | May 9, 2026, 11:09 p.m. |
Created at: April 10, 2026, 4:54 a.m.