Triple
T9112700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupert Graves as DI Greg Lestrade |
E218639
|
entity |
| Predicate | policeRankInSeries |
P47215
|
FINISHED |
| Object | Detective Inspector |
—
|
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: Detective Inspector | Statement: [Rupert Graves as DI Greg Lestrade, policeRankInSeries, Detective Inspector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeRankInSeries Context triple: [Rupert Graves as DI Greg Lestrade, policeRankInSeries, Detective Inspector]
-
A.
policeRank
chosen
Indicates that one entity holds a specific rank or position within a police organization relative to another entity.
-
B.
militaryRankOfPrecedence
Indicates the relative seniority or priority order of a military rank compared to other ranks.
-
C.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
D.
officerCorps
Indicates that an entity belongs to, is part of, or is associated with a group or body of officers within an organization or institution.
-
E.
commissionedOfficerRank
Indicates that one entity holds a rank that qualifies them as a commissioned officer in a formal organizational hierarchy.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca84b0a048190964f560f78e27cce |
completed | April 1, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.