Triple
T23189325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goddess in the Doorway |
E579685
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Gun |
—
|
NE NERFINISHED |
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: [Goddess in the Doorway, hasTrack, Gun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gun Context triple: [Goddess in the Doorway, 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
Gun was a lesser noble title in the Joseon Dynasty of Korea, historically associated with deposed or demoted former kings.
-
C.
Gun
chosen
"Gun" is a heavy, riff-driven rock track by Soundgarden from their 1989 album *Louder Than Love*.
-
D.
Gun
Gun is a Scottish surname most prominently linked to Clan Gunn, a historic Highland clan from Caithness and Sutherland.
-
E.
GUN
GUN is the National Rail station code for Gunnersbury railway station in London, United Kingdom.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd592248190a7e705c554885cd1 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.