Triple
T5382011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 陳士駿 |
E113105
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Nom.com |
E113109
|
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: Nom.com | Statement: [陳士駿, coFounded, Nom.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nom.com Context triple: [陳士駿, coFounded, Nom.com]
-
A.
Nom.com
chosen
Nom.com was a live video streaming and social platform focused on food and cooking, co-founded by YouTube co-founder Steve Chen.
-
B.
Dotcom
Dotcom is a music producer known for contributing to the sound of the collaborative hip-hop project Kids See Ghosts.
-
C.
Namesys
Namesys was a software company best known for developing the ReiserFS journaling file system for Linux.
-
D.
.nu
.nu is the country code top-level domain (ccTLD) assigned to Niue, widely used internationally because "nu" resembles words meaning "now" or "new" in several languages.
-
E.
Nome
Nome is a remote coastal city in western Alaska known historically for its gold rush heritage and as a key transportation and supply hub on the Bering Sea.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86d163f88190939638d44fcb24a7 |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf294cb9288190ab1400dae18332de |
completed | March 21, 2026, 11:27 p.m. |
Created at: March 20, 2026, 2:03 p.m.