Triple
T16675524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Through the Looking Glass |
E405206
|
entity |
| Predicate | hasTrack |
P3284
|
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: [Through the Looking Glass, hasTrack, Gun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gun Context triple: [Through the Looking Glass, hasTrack, Gun]
-
A.
Gun
"Gun" is a 2010 American crime drama film directed by Jessy Terrero and starring 50 Cent and Val Kilmer, centered on the illicit firearms trade.
-
B.
Gun
chosen
"Gun" is a heavy, riff-driven rock track by Soundgarden from their 1989 album *Louder Than Love*.
-
C.
Gun
Gun is a Scottish surname most prominently linked to Clan Gunn, a historic Highland clan from Caithness and Sutherland.
-
D.
GUN
GUN is the National Rail station code for Gunnersbury railway station in London, United Kingdom.
-
E.
Guns
"Guns" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically charged themes.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6a1960819098c5e3385693a87a |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3ab8b481908b333b6a556a58d5 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.