Triple
T5753886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talib Kweli |
E126918
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Eardrum |
E126924
|
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: Eardrum | Statement: [Talib Kweli, notableWork, Eardrum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eardrum Context triple: [Talib Kweli, notableWork, Eardrum]
-
A.
Eardrum
chosen
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.
-
B.
Nose
Nose is a city in Osaka Prefecture, Japan, known for its rural landscapes, historic temples, and traditional countryside atmosphere.
-
C.
Corne
Corne is a given name, typically used as a shortened or informal form of the Dutch name Cornelis.
-
D.
Cilicia Trachea
Cilicia Trachea was the rugged, mountainous western part of ancient Cilicia in southeastern Asia Minor, known for its steep coastline, forests, and historical reputation as a haven for pirates.
-
E.
Big Ears
Big Ears is a wise, bearded brownie from Enid Blyton’s Noddy stories who lives in a toadstool house and often helps Noddy with advice and guidance.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029032ba08190ae4062d74ab271ee |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3e71988190a938a6d175023028 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:49 p.m.