Triple
T13793067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMG |
E331446
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Hi-C |
E331445
|
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: Hi-C | Statement: [AMG, associatedAct, Hi-C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hi-C Context triple: [AMG, associatedAct, Hi-C]
-
A.
Hi-C
chosen
Hi-C is an American rapper from Compton, California, known for his work in West Coast hip hop and frequent collaborations with DJ Quik.
-
B.
Edico Genome
Edico Genome was a biotechnology company specializing in high-speed genomic data analysis through its DRAGEN bio-IT platform and FPGA-based acceleration technology.
-
C.
CTCF
CTCF is a state prison facility in Colorado that houses incarcerated individuals under the jurisdiction of the Colorado Department of Corrections.
-
D.
Visium
Visium is a processor architecture supported by the GNU Assembler within the GNU Binutils toolchain.
-
E.
BGI
BGI is the station code for Brigadeiro, a São Paulo Metro station on Line 2 (Green) in Brazil.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0258a1408190a837d17c6d6a2bd4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc31861b8819089d08c824512ab7f |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:11 p.m.