Triple
T29601847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Lime |
E754469
|
entity |
| Predicate | backstoryExpandedIn |
P115645
|
FINISHED |
| Object | The Lives of Harry Lime (radio series) |
—
|
NE NERFINISHED |
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: The Lives of Harry Lime (radio series) | Statement: [Harry Lime, backstoryExpandedIn, The Lives of Harry Lime (radio series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backstoryExpandedIn Context triple: [Harry Lime, backstoryExpandedIn, The Lives of Harry Lime (radio series)]
-
A.
expandsBackstoryOf
chosen
Indicates that one entity provides additional background details or context that elaborate on the history or origins of another entity.
-
B.
hasExpandedNarrativesIn
Indicates that something has developed or introduced more detailed, diverse, or extensive narratives within a specified context or medium.
-
C.
hasFictionalBackstory
Indicates that an entity is associated with an invented or imaginary narrative background rather than a real-world history.
-
D.
originStoryIncludes
Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
-
E.
laterExpandedIntoSeries
Indicates that an original work was subsequently developed or extended into a multi-part series.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66de4472081909316ce333e82f5fd |
completed | May 2, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:22 p.m.