Triple
T22531391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherlock Holmes (Granada TV series) |
E557043
|
entity |
| Predicate | portraysAddress |
P128467
|
FINISHED |
| Object | 221B Baker Street |
—
|
LITERAL 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: 221B Baker Street | Statement: [Sherlock Holmes (Granada TV series), portraysAddress, 221B Baker Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysAddress Context triple: [Sherlock Holmes (Granada TV series), portraysAddress, 221B Baker Street]
-
A.
portraysPlace
chosen
Indicates that one entity visually or narratively represents or depicts a particular place.
-
B.
locationAddressed
Indicates that a communication, message, or action is specifically directed to or intended for a particular location or address.
-
C.
addressedThrough
Indicates that an issue, request, or communication is handled, resolved, or processed by means of a specified channel, method, or intermediary.
-
D.
portraysState
Indicates that one entity visually or symbolically represents or depicts the condition, status, or situation of another entity.
-
E.
portraysActivity
Indicates that one entity visually or narratively represents another entity engaged in a particular activity.
- F. None of above.
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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed7625081908bdb6cebcda96712 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.