Triple
T12911704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interplay Productions |
E308878
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | id Software |
E52886
|
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: id Software | Statement: [Interplay Productions, collaboratedWith, id Software]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: id Software Context triple: [Interplay Productions, collaboratedWith, id Software]
-
A.
id Software
chosen
id Software is an American video game developer best known for pioneering the first-person shooter genre with titles like Doom and Quake.
-
B.
Raven Software
Raven Software is an American video game developer best known for its work on first-person shooters and contributions to the Call of Duty franchise.
-
C.
Croteam
Croteam is a Croatian video game development studio best known for creating fast-paced first-person shooters and the Serious Sam series.
-
D.
Origin Systems
Origin Systems was an influential American video game developer and publisher best known for creating the Ultima and Wing Commander series.
-
E.
3D Realms
3D Realms is a video game developer best known for creating the influential first-person shooter Duke Nukem 3D and pioneering shareware distribution in the 1990s.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719f96248190b746f9d4a468560c |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0e7e9fc8190ad065a587c6c45dd |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:41 p.m.