Triple
T3246234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nav |
E68072
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Belly |
E142177
|
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: Belly | Statement: [Nav, associatedAct, Belly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belly Context triple: [Nav, associatedAct, Belly]
-
A.
Belly
chosen
Belly is a 1998 crime drama film directed by Hype Williams and starring DMX and Nas, known for its stylized visuals and depiction of urban street life.
-
B.
Sheba, Baby
Sheba, Baby is a 1975 blaxploitation crime-action film starring Pam Grier as a tough private investigator returning to her hometown to battle corrupt businessmen threatening her father's business.
-
C.
Bde Maka Ska
Bde Maka Ska is the largest lake in Minneapolis, Minnesota, popular for recreation and known as part of the city’s Chain of Lakes.
-
D.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
-
E.
El Pecho
El Pecho is a prominent summit of the Iztaccíhuatl volcano in central Mexico, recognizable as part of the mountain’s distinctive “sleeping woman” profile.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1a96148190b63bf46209712707 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2775f76988190bfaaaabce63f6f6b |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:09 p.m.