Triple
T4555868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyra Sedgwick as Brenda Leigh Johnson |
E120475
|
entity |
| Predicate | laterOccupationInSeries |
P6709
|
FINISHED |
| Object | Deputy Chief of LAPD Major Crimes Division |
—
|
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: Deputy Chief of LAPD Major Crimes Division | Statement: [Kyra Sedgwick as Brenda Leigh Johnson, laterOccupationInSeries, Deputy Chief of LAPD Major Crimes Division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterOccupationInSeries Context triple: [Kyra Sedgwick as Brenda Leigh Johnson, laterOccupationInSeries, Deputy Chief of LAPD Major Crimes Division]
-
A.
followsCharacterOccupation
Indicates that one character’s occupation or job role comes after or succeeds another character’s occupation in a sequence or progression.
-
B.
followedByRoleInCareerOf
chosen
Indicates that one role or position directly succeeds another in the sequence of roles within a single entity’s career.
-
C.
characterFormerOccupation
Indicates that a character previously held a specific occupation but no longer does.
-
D.
notableCharacterOccupation
Indicates that a notable character is associated with a specific occupation or professional role.
-
E.
laterAppearancesIn
Indicates that one entity makes additional or subsequent appearances in relation to another entity after an initial occurrence.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd5813af948190b10b02dadf6496bf |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd5223423c81908317351b58cff5f5 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.