Triple
T3297613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Oliphant |
E69252
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Oliphant |
E69252
|
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: Oliphant | Statement: [Mark Oliphant, familyName, Oliphant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliphant Context triple: [Mark Oliphant, familyName, Oliphant]
-
A.
Oliphant
chosen
Oliphant is a surname most notably associated with Australian physicist Sir Mark Oliphant, a pioneer in nuclear physics and radar technology.
-
B.
Xerus
Xerus is a genus of African ground squirrels known for their diurnal, social behavior and adaptation to open, arid habitats.
-
C.
Napier Lion
The Napier Lion was a powerful British W12 aircraft engine widely used in high-performance military and racing aircraft during the 1920s and early 1930s.
-
D.
Oryx
Oryx is a mysterious and resilient woman in Margaret Atwood’s dystopian novel "Oryx and Crake," whose traumatic past and complex relationships profoundly shape the story’s emotional and ethical core.
-
E.
Lion-Mher
Lion-Mher is a heroic figure from the Armenian epic cycle "Daredevils of Sassoun," renowned for his extraordinary strength and lion-like bravery.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a2f4708190821edb9700f62d2f |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3d35c448190a4ca50ae31639e65 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:10 p.m.