Triple
T18634342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illuminations |
E455503
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | The Angel |
—
|
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: The Angel | Statement: [Illuminations, hasTrack, The Angel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Angel Context triple: [Illuminations, hasTrack, The Angel]
-
A.
The Angel
The Angel is an electronic music producer and DJ known for crafting atmospheric, dance-oriented tracks featured in underground club culture and film soundtracks.
-
B.
The Angel
chosen
"The Angel" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its poetic lyrics and reflective, piano-driven style.
-
C.
The Angel
The Angel is a film featuring British actor Adeel Akhtar in a prominent role.
-
D.
The Angel
The Angel is a historic British inn and public house, often noted for its traditional architecture and role as a local social and lodging landmark.
-
E.
The Angel
The Angel is a powerful, otherworldly messenger who appears in Tony Kushner’s play "Angels in America," symbolizing divine intervention, prophecy, and the tension between stasis and change.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc74d208190bfda63b5b0b160cd |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.