Triple
T746842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver Otis Howard |
E15360
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Oliver |
E5613
|
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: Oliver | Statement: [Oliver Otis Howard, givenName, Oliver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Context triple: [Oliver Otis Howard, givenName, Oliver]
-
A.
Oliver
chosen
Oliver is the given name of Oliver Wendell Holmes Sr., a prominent 19th-century American physician, poet, and essayist.
-
B.
Oliver Wallace
Oliver Wallace was a British-born American composer and conductor best known for scoring numerous classic Disney animated films in the mid-20th century.
-
C.
Nicholas Nickleby
Nicholas Nickleby is a 2002 film adaptation of Charles Dickens's novel, following a young man who must protect his family from hardship and cruelty in 19th-century England.
-
D.
Kipps
Kipps is a 1905 social novel by H. G. Wells that follows the rise of a humble draper’s apprentice after an unexpected inheritance, exploring class mobility and Edwardian society.
-
E.
Matilda
Matilda is a virtuous and tragic noblewoman in Horace Walpole’s pioneering Gothic novel "The Castle of Otranto."
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62ca1d081908e3191411f86498d |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654e664e4819081badaf0ba0d86e5 |
completed | March 3, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:37 p.m.