Triple
T19365458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dilemma |
E484388
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Bam |
—
|
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: Bam | Statement: [Dilemma, producer, Bam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bam Context triple: [Dilemma, producer, Bam]
-
A.
Bam
chosen
Bam is a music producer known for working on the track "Dilemma."
-
B.
Bam
Bam is the widely recognized nickname of NBA All-Star center Bam Adebayo of the Miami Heat.
-
C.
Bam
Bam is an ancient city in southeastern Iran best known for its historic mud-brick citadel, Arg-e Bam, a UNESCO World Heritage site.
-
D.
Inbam
Inbam is the third section of the ancient Tamil classic Tirukkural, focusing on love and the emotional aspects of human life.
-
E.
BAM
BAM is a contemporary art museum in Boise, Idaho, known for its rotating exhibitions, educational programs, and regional art collections.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619aa9ff48190b1ede47fb88a682e |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.