Triple
T11376337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrian Carmack |
E269478
|
entity |
| Predicate | leftIdSoftwareYear |
P98966
|
FINISHED |
| Object | 2005 |
—
|
LITERAL 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: 2005 | Statement: [Adrian Carmack, leftIdSoftwareYear, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leftIdSoftwareYear Context triple: [Adrian Carmack, leftIdSoftwareYear, 2005]
-
A.
videoGameReleaseYear
Indicates the calendar year in which a particular video game was released.
-
B.
formerlyDevelopedBy
Indicates that an entity was developed in the past by another entity, but is no longer developed by that same party.
-
C.
KernelFoundedIn
Indicates that a kernel (such as an operating system kernel or similar core software component) was established, created, or first introduced in a specific time or place.
-
D.
wasIntroducedAsWindowsGameIn
Indicates that a game was first released or made available as a Windows game in a specified year or time period.
-
E.
usReleaseYear
Indicates the calendar year in which something was released in the United States.
- F. None of above. chosen
Provenance (4 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:33 p.m.