Triple
T20803595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Lay |
E512100
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Omer Lay |
—
|
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 Lay | Statement: [Kenneth Lay, father, Omer Lay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omer Lay Context triple: [Kenneth Lay, father, Omer Lay]
-
A.
Omer Lay
chosen
Omer Lay is the father of Kenneth Lay, the former Enron CEO central to one of the largest corporate fraud scandals in U.S. history.
-
B.
Omer Adam
Omer Adam is a popular Israeli singer known for his blend of Mizrahi and pop music and numerous chart-topping hits.
-
C.
Omar Hassan-Reep
Omar Hassan-Reep is a film editor known for his work on the 2010 horror movie "Chain Letter."
-
D.
Omar Miller
Omar Miller is an American actor known for his roles in film and television, including a prominent part in the HBO series "Ballers."
-
E.
Omar Ezaz
Omar Ezaz was a prominent military commander associated with the Eritrean Liberation Front during Eritrea’s struggle for independence.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2b2d5688190aaa58a2594d4787c |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:39 p.m.