Triple
T14789804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olyphant |
E347622
|
entity |
| Predicate | alternativeSpellingOf |
P457
|
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: [Olyphant, alternativeSpellingOf, Oliphant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliphant Context triple: [Olyphant, alternativeSpellingOf, 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.
Maligawa Tusker
Maligawa Tusker is the prestigious lead elephant that carries the sacred relic casket in Sri Lanka’s famed Kandy Esala Perahera procession.
-
D.
Silliphant
Silliphant is a surname most notably associated with Stirling Silliphant, the Academy Award–winning American screenwriter known for works like "In the Heat of the Night."
-
E.
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.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa1e9ec81908d7c26c1c4e43014 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24bc8464819096b019f1e927d1a9 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.