Triple
T13349664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-0 System compiler |
E318037
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | FLOW-MATIC |
E837195
|
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: FLOW-MATIC | Statement: [A-0 System compiler, influenced, FLOW-MATIC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FLOW-MATIC Context triple: [A-0 System compiler, influenced, FLOW-MATIC]
-
A.
FLOW-MATIC
chosen
FLOW-MATIC was an early English-like business data processing programming language developed by Grace Hopper that directly inspired the design and syntax of COBOL.
-
B.
Ice Machines
"Ice Machines" is a musical track whose title evokes the cold, mechanical atmosphere suggested by its association with the piece "First Two Pages of Frankenstein."
-
C.
Nutri-Matic drinks dispenser
The Nutri-Matic drinks dispenser is a fictional beverage machine from *The Hitchhiker’s Guide to the Galaxy* universe, notorious for producing drinks that are almost, but not quite, entirely unlike what the user actually wants.
-
D.
Flomaton
Flomaton is a small town in Escambia County, Alabama, known as a historic railroad junction near the Florida state line.
-
E.
Unifeeder
Unifeeder is a European logistics and shortsea shipping company that operates container feeder and regional transport services connecting major ports and smaller terminals.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8b28e48190a23194e03a74b41b |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f47fd7c8190b8d98a181acd7710 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.