Triple
T2958441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Apple Falls |
E79987
|
entity |
| Predicate | recordedAs |
P15615
|
FINISHED |
| Object | Smog moniker |
E16362
|
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: Smog moniker | Statement: [Red Apple Falls, recordedAs, Smog moniker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smog moniker Context triple: [Red Apple Falls, recordedAs, Smog moniker]
-
A.
Smog
chosen
Smog is the lo-fi indie rock project of American singer-songwriter Bill Callahan, known for its sparse arrangements and introspective, deadpan lyricism.
-
B.
Smoke
Smoke is a large-scale modern sculpture by American artist Tony Smith, renowned for its monumental geometric form and prominent installation at the Los Angeles County Museum of Art.
-
C.
The Smoke
The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
-
D.
The Smoke
The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
-
E.
The Smoke
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992c4c7c819084b5bef299255181 |
completed | March 8, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc8df3f481908ba71ab72e68938e |
completed | March 11, 2026, 5:24 a.m. |
Created at: March 8, 2026, 2:57 p.m.