Triple
T21975124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atari 400 |
E542685
|
entity |
| Predicate | videoChip |
P143916
|
FINISHED |
| Object | CTIA |
—
|
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: CTIA | Statement: [Atari 400, videoChip, CTIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CTIA Context triple: [Atari 400, videoChip, CTIA]
-
A.
CTIA
chosen
CTIA is an early custom video display chip used in Atari 8-bit computers to generate their on-screen graphics and color output.
-
B.
CTI
CTI is the French national accreditation body responsible for evaluating and authorizing engineering degree programs.
-
C.
CTI
CTI is the abbreviation for APEC’s Committee on Trade and Investment, a body that works to advance regional trade and investment liberalization and facilitation among member economies.
-
D.
CTIIC
CTIIC is a U.S. government center responsible for integrating, analyzing, and coordinating cyber threat intelligence across federal agencies.
-
E.
Telecip
Telecip is a French film production company best known for backing the 1976 Academy Award–winning war satire "Black and White in Color."
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12487a1a88190abb8a51fcd533b6a |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:03 p.m.