Triple
T8511621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halo (video game series) |
E201466
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Bungie |
E273678
|
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: Bungie | Statement: [Halo (video game series), creator, Bungie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bungie Context triple: [Halo (video game series), creator, Bungie]
-
A.
Bungie
chosen
Bungie is an American video game developer best known for creating the Halo and Destiny franchises.
-
B.
343 Industries
343 Industries is an American video game development studio best known for leading the Halo franchise.
-
C.
Beenox
Beenox is a Canadian video game development studio best known for its work on the Call of Duty series and remastered titles like Crash Team Racing Nitro-Fueled.
-
D.
Infinity Ward
Infinity Ward is an American video game developer best known as the original creator of the Call of Duty franchise.
-
E.
Treyarch
Treyarch is a video game development studio best known for creating several installments in the Call of Duty franchise.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe60b0d4c8190812ddbc1c17389c8 |
completed | March 31, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e47542c8190af93dca3ce16a04b |
completed | April 2, 2026, 11:08 a.m. |
Created at: March 30, 2026, 6:15 p.m.