Triple
T7962342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross Matthew Birchard |
E184898
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | LuckyMe |
E184901
|
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: LuckyMe | Statement: [Ross Matthew Birchard, memberOf, LuckyMe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LuckyMe Context triple: [Ross Matthew Birchard, memberOf, LuckyMe]
-
A.
LuckyMe
chosen
LuckyMe is a Scottish independent record label and arts collective known for its forward-thinking electronic, hip-hop, and experimental music releases.
-
B.
Lucky
"Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
-
C.
Lucky
"Lucky" is a popular duet by American singers Colbie Caillat and Jason Mraz, known for its mellow acoustic pop style and romantic lyrics.
-
D.
Lucky
Lucky is a contemplative 2017 independent film starring Harry Dean Stanton as a nonagenarian atheist confronting mortality in a small desert town.
-
E.
Lucky
Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores and value-focused offerings.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9df72081908d33925da10192e9 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe08c36f48190b005c6c92ad813d0 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:12 p.m.