Triple
T21727060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PDP-10 |
E536299
|
entity |
| Predicate | notableLanguage |
P207
|
FINISHED |
| Object | Pascal |
—
|
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: Pascal | Statement: [PDP-10, notableLanguage, Pascal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pascal Context triple: [PDP-10, notableLanguage, Pascal]
-
A.
Pascal
chosen
Pascal is a high-level, strongly typed procedural programming language designed by Niklaus Wirth in the late 1960s, widely used for teaching structured programming and data structuring concepts.
-
B.
Pascal
Pascal is a French surname most famously associated with Blaise Pascal, the 17th-century mathematician, physicist, inventor, and philosopher.
-
C.
Pascal
Pascal is the small, expressive chameleon who serves as Rapunzel’s loyal companion and confidant in Disney’s animated film "Tangled."
-
D.
Pascal
Pascal is a Haitian-Canadian professional boxer and former light-heavyweight world champion known for his explosive style and high-profile bouts.
-
E.
Pascal
Pascal is the young boy protagonist of the classic 1956 French short film "The Red Balloon," known for his poignant friendship with a seemingly sentient red balloon in the streets of Paris.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd973ac648190bb09e20ac1be2d9b |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.