Triple
T13631105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egun |
E325718
|
entity |
| Predicate | hasExonym |
P4705
|
FINISHED |
| Object | Gun |
E568593
|
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: Gun | Statement: [Egun, hasExonym, Gun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gun Context triple: [Egun, hasExonym, Gun]
-
A.
Gun
chosen
"Gun" is a heavy, riff-driven rock track by Soundgarden from their 1989 album *Louder Than Love*.
-
B.
Gun
Gun is a Scottish surname most prominently linked to Clan Gunn, a historic Highland clan from Caithness and Sutherland.
-
C.
Guns
"Guns" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically charged themes.
-
D.
Table Gun
Table Gun is a Philippe Starck–designed table lamp shaped like a firearm, created as part of the provocative Gun Lamp series for the Italian lighting brand Flos.
-
E.
Pistol
Pistol is a braggart, swaggering follower of Falstaff who appears as a comic, bombastic soldier in several of Shakespeare’s plays, including *The Merry Wives of Windsor*.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9ea9088190a17270dec82bbcaa |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fab07648190b3b3362a8ffa8961 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:51 p.m.