Triple
T12527118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitterman |
E299467
|
entity |
| Predicate | weaponUsage |
P820
|
FINISHED |
| Object | railgun |
E914248
|
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: railgun | Statement: [Bitterman, weaponUsage, railgun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: railgun Context triple: [Bitterman, weaponUsage, railgun]
-
A.
Railgun
chosen
The Railgun is a powerful, precision long-range weapon in the Quake series, known for its high damage, pinpoint accuracy, and distinctive beam shot.
-
B.
Plasma Gun
The Plasma Gun is a rapid-firing energy weapon in the Quake series that launches high-velocity plasma projectiles, trading precision for sustained damage output at close to mid range.
-
C.
Photon Cannon
The Photon Cannon is a Protoss static defense structure in the StarCraft series that provides both ground and air attack capabilities while also detecting cloaked units.
-
D.
Cannon
Cannon is a common English surname borne by various notable individuals across entertainment, sports, and public life.
-
E.
Cannon
Cannon is a historic American textile and home goods brand best known for its towels, bedding, and other household linens.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d960c2e5b88190a7cc16002b218d8a |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc393808190add527030a928517 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.