Triple
T4295718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SHERLOC |
E99705
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Sherlock Holmes (by pun) |
E5614
|
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: Sherlock Holmes (by pun) | Statement: [SHERLOC, namedAfter, Sherlock Holmes (by pun)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherlock Holmes (by pun) Context triple: [SHERLOC, namedAfter, Sherlock Holmes (by pun)]
-
A.
Holmes
Holmes is a consumer brand best known for its home comfort products such as fans, heaters, and air purifiers.
-
B.
Holmes
chosen
Holmes is a common English surname borne by numerous notable figures, including writers, jurists, and fictional characters such as Sherlock Holmes.
-
C.
Hugh Sherlock
Hugh Sherlock was a Jamaican clergyman, social worker, and poet best known for writing the lyrics of Jamaica’s national anthem.
-
D.
Young Sherlock Holmes
Young Sherlock Holmes is a 1985 mystery-adventure film that imagines the famed detective and John Watson as teenagers solving a dark, supernatural conspiracy at their boarding school.
-
E.
Holmes and Holmes
Holmes and Holmes is a Canadian home renovation reality TV series featuring contractor Mike Holmes working alongside his son to repair and improve houses.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35085b864819086cf726285384566 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c740c4a081909a63fb957f2926ae |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:08 p.m.