Triple
T30688564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamie Reagan |
E781253
|
entity |
| Predicate | rankInSeries |
P76763
|
FINISHED |
| Object | patrol officer |
—
|
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: patrol officer | Statement: [Jamie Reagan, rankInSeries, patrol officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInSeries Context triple: [Jamie Reagan, rankInSeries, patrol officer]
-
A.
rankIn
Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
-
B.
positionInSeason
Indicates the specific ordinal placement or ranking of something within the sequence of items in a season.
-
C.
rankWithinChapter
Indicates the relative ordering or position of an item among other items within the same chapter.
-
D.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
-
E.
hasPartOfSeriesPosition
chosen
Indicates that an entity occupies a specific position or order within a larger series or sequence.
- 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_69f224a92f54819095499b4d32bd5134 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 29, 2026, 8:33 p.m.