Triple
T15357421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The World's Greatest Detective |
E367197
|
entity |
| Predicate | scopeOfReputation |
P118251
|
FINISHED |
| Object | global within DC Universe |
—
|
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: global within DC Universe | Statement: [The World's Greatest Detective, scopeOfReputation, global within DC Universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scopeOfReputation Context triple: [The World's Greatest Detective, scopeOfReputation, global within DC Universe]
-
A.
refersToPersonReputation
Indicates that something is about, concerns, or makes reference to a particular person's reputation.
-
B.
placeInReputation
Indicates that an entity holds a particular standing, status, or level within a reputation or ranking system.
-
C.
associatedWithReputation
Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
-
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.
causeOfReputation
Indicates that one entity is the reason or source for another entity’s reputation.
- F. None of above. chosen
Provenance (4 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2d4934819097fc63603964217c |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:18 a.m.