Triple
T212039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirhan Sirhan |
E4741
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sirhan |
E4741
|
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: Sirhan | Statement: [Sirhan Sirhan, familyName, Sirhan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirhan Context triple: [Sirhan Sirhan, familyName, Sirhan]
-
A.
Sirhan Sirhan
chosen
Sirhan Sirhan is a Palestinian immigrant who became infamous for assassinating U.S. Senator Robert F. Kennedy in Los Angeles in 1968.
-
B.
Abdulfattah Jandali
Abdulfattah Jandali is a Syrian-born immigrant and academic who is best known as the biological father of Apple co-founder Steve Jobs.
-
C.
Bader
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
-
D.
Nabil Elderkin
Nabil Elderkin is an acclaimed photographer and music video director known for his visually striking work with artists such as Kanye West, Frank Ocean, and John Legend.
-
E.
Ali Hakim
Ali Hakim is a comic Persian peddler and charming rogue suitor in the classic Rodgers and Hammerstein musical "Oklahoma!".
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c2fd0648190bae9191a84129709 |
completed | Feb. 28, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35274ba1c8190bc8d5ae975501d35 |
completed | Feb. 28, 2026, 8:39 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.