Triple
T23411155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feel It in the Air |
E560069
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Damon Blackman |
E1405591
|
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: Damon Blackman | Statement: [Feel It in the Air, writer, Damon Blackman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damon Blackman Context triple: [Feel It in the Air, writer, Damon Blackman]
-
A.
Damon Blackman
chosen
Damon Blackman, better known as Dame Grease, is an American hip-hop record producer and DJ recognized for his influential work with artists like DMX and the Ruff Ryders collective.
-
B.
Damon Jones
Damon Jones is a film producer known for his work on the biographical drama "Goodbye Christopher Robin."
-
C.
Damon Jones
Damon Jones is a content creator best known for his work on the sports-focused show "Benched."
-
D.
Damon Ross
Damon Ross is a film producer known for his work on the animated feature "The Bad Guys."
-
E.
Matt Black
Matt Black is an American documentary photographer renowned for his stark black-and-white work on poverty, migration, and environmental issues, particularly in rural and marginalized communities.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a51183bc8190bd4860607b26b4b2 |
completed | April 29, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8243ada081908ff5312f06b3a465 |
completed | May 19, 2026, 3:31 p.m. |
Created at: April 17, 2026, 5:38 p.m.