Triple
T10650770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyle |
E250961
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Left Ear |
E877273
|
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: Left Ear | Statement: [Lyle, worksWith, Left Ear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Left Ear Context triple: [Lyle, worksWith, Left Ear]
-
A.
Left Ear
chosen
Left Ear is a character from the heist film "The Italian Job," known as the explosives expert and close associate of Handsome Rob.
-
B.
Coshlea
Coshlea is a historic barony in County Limerick, Ireland, known as a traditional administrative and land division with roots in the region’s medieval territorial organization.
-
C.
Eardrum
Eardrum is a 2007 studio album by American rapper Talib Kweli that showcases his socially conscious lyricism over a diverse range of hip-hop production.
-
D.
Leftside
Leftside is a Jamaican dancehall and reggae artist known for his energetic style and humorous, party-oriented tracks.
-
E.
Oreja
Oreja is a Spanish surname most notably associated with Marcelino Oreja, a prominent Spanish politician and diplomat.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe4b97081908815b77612222318 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988530f288190b8150d159f723a74 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:06 p.m.