Triple
T33805525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selsdon Mowbray |
E866373
|
entity |
| Predicate | workTitleInPlay |
P102762
|
FINISHED |
| Object | Burglar |
—
|
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: Burglar | Statement: [Selsdon Mowbray, workTitleInPlay, Burglar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTitleInPlay Context triple: [Selsdon Mowbray, workTitleInPlay, Burglar]
-
A.
workTitle
Indicates the formal title or name of a work (such as a book, artwork, or composition) associated with an entity.
-
B.
playTitle
chosen
Indicates the title or name assigned to a play in a relationship between a play entity and its textual label.
-
C.
workTitleContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular work or title.
-
D.
playWithinPlayTitle
Indicates that one play is presented as a play within another play, and this predicate gives the title of that embedded play.
-
E.
workTitleInLatinScript
Indicates that the title of a work is expressed using a Latin-based writing system.
- 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbe36a08190bf1f2b0529a85f4a |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:46 a.m.