Triple
T35103963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tristessa |
E1013095
|
entity |
| Predicate | femaleLeadAddiction |
P182524
|
FINISHED |
| Object | morphine |
—
|
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: morphine | Statement: [Tristessa, femaleLeadAddiction, morphine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleLeadAddiction Context triple: [Tristessa, femaleLeadAddiction, morphine]
-
A.
femaleMember
Indicates that one entity is a member of a group or organization and is identified as female.
-
B.
femaleLeadCharacterStatus
Indicates the narrative or role status assigned to a female lead character within a story or production.
-
C.
femaleSubject
Indicates that the subject in the relationship or action is female.
-
D.
femaleFeature
Indicates that the subject possesses a characteristic or attribute that is typically associated with females.
-
E.
femaleRole
Indicates that the role, function, or position involved is associated with or designated as female.
- 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_69f76dd556248190808b4c4f43debebb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78ce43094819093857fc99f269afe |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:01 p.m.