Triple
T10600396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakhtiari |
E275728
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | David Bakhtiari |
E55545
|
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: David Bakhtiari | Statement: [Bakhtiari, hasNotableBearer, David Bakhtiari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Bakhtiari Context triple: [Bakhtiari, hasNotableBearer, David Bakhtiari]
-
A.
David Bakhtiari
chosen
David Bakhtiari is an American football offensive tackle best known for his Pro Bowl career with the Green Bay Packers in the NFL.
-
B.
Behdad Eghbali
Behdad Eghbali is an American private equity investor and co-founder of Clearlake Capital Group, known for major investments in sports, technology, and industrial companies.
-
C.
Darius Alizadeh
Darius Alizadeh is a character appearing in the James Bond continuation novel "Devil May Care" by Sebastian Faulks.
-
D.
Mehdi Hatamian
Mehdi Hatamian is an electrical engineer and technologist recognized for his influential contributions to high-speed integrated circuits and signal processing, for which he has received major industry honors.
-
E.
Zekeria Ebrahimi
Zekeria Ebrahimi is an Afghan actor best known for his role as the young Amir in the film adaptation of "The Kite Runner."
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded52f288190b40288d0acbe009b |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b698f308190be8ee1e6bc8481d3 |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 7:30 p.m.