Triple
T574495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIGCHI |
E13732
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | SIGCHI |
E13732
|
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: SIGCHI | Statement: [SIGCHI, acronym, SIGCHI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIGCHI Context triple: [SIGCHI, acronym, SIGCHI]
-
A.
SIGCHI
chosen
SIGCHI is the ACM Special Interest Group on Computer-Human Interaction, a leading professional community focused on advancing research and practice in human-computer interaction.
-
B.
SIGCSE
SIGCSE is a leading ACM special interest group focused on computer science education, supporting educators through conferences, publications, and community initiatives.
-
C.
ACM SIGGRAPH
ACM SIGGRAPH is a leading international professional organization and conference series focused on computer graphics and interactive techniques.
-
D.
SIGCHI Lifetime Achievement Award
The SIGCHI Lifetime Achievement Award is a prestigious honor presented by the ACM Special Interest Group on Computer–Human Interaction to individuals who have made fundamental and sustained contributions to the field of human-computer interaction.
-
E.
SIGPLAN
SIGPLAN is the ACM Special Interest Group on Programming Languages, focusing on research, development, and education in programming language design and implementation.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b4c23548190a3b883239c7c78c8 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a501bfb6408190bf7e1f462f39723d |
completed | March 2, 2026, 3:19 a.m. |
Created at: March 1, 2026, 7:33 p.m.