Triple
T20408263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Sux |
E500525
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Omer Fedi |
—
|
NE NERFINISHED |
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: Omer Fedi | Statement: [Love Sux, producer, Omer Fedi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omer Fedi Context triple: [Love Sux, producer, Omer Fedi]
-
A.
Omer Fedi
chosen
Omer Fedi is an Israeli-born guitarist, songwriter, and record producer known for crafting hit songs with major pop and hip-hop artists.
-
B.
Numan Acar
Numan Acar is a Turkish-German actor and film producer known for his roles in international films and television series, often portraying intense and complex characters.
-
C.
Hasan Arat
Hasan Arat is a Turkish businessman and sports executive best known for leading the Istanbul-based football club Beşiktaş JK as its chairman.
-
D.
Emin Özmen
Emin Özmen is a Turkish photojournalist renowned for his powerful documentation of conflict, human rights abuses, and humanitarian crises.
-
E.
Kenan Erim
Kenan Erim was a Turkish-born archaeologist best known for directing the long-term excavations at the ancient city of Aphrodisias in modern-day Turkey.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3d03ac81908f37b907ccbb5088 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.