Triple
T33727548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Real Transported Man |
E864183
|
entity |
| Predicate | inStoryReputation |
P88197
|
FINISHED |
| Object | greatest magic trick in London |
—
|
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: greatest magic trick in London | Statement: [The Real Transported Man, inStoryReputation, greatest magic trick in London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inStoryReputation Context triple: [The Real Transported Man, inStoryReputation, greatest magic trick in London]
-
A.
tributeAssessmentReputation
Indicates the evaluation of an entity’s reputation specifically in the context of determining or justifying a tribute assessment.
-
B.
placeInReputation
chosen
Indicates that an entity holds a particular standing, status, or level within a reputation or ranking system.
-
C.
rankInBackstory
Indicates the position or status an entity holds within another entity’s narrative background or origin story.
-
D.
laterReputation
Indicates that an entity’s reputation or status at a later time is being referred to in relation to an earlier point or context.
-
E.
refersToPersonReputation
Indicates that something is about, concerns, or makes reference to a particular person's reputation.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb1b91bc8190a40733039fe939b3 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.