Triple
T18933408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalie Scatorccio |
E463173
|
entity |
| Predicate | adultTimeline |
P133854
|
FINISHED |
| Object | investigates blackmail of Yellowjackets survivors |
—
|
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: investigates blackmail of Yellowjackets survivors | Statement: [Natalie Scatorccio, adultTimeline, investigates blackmail of Yellowjackets survivors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adultTimeline Context triple: [Natalie Scatorccio, adultTimeline, investigates blackmail of Yellowjackets survivors]
-
A.
adultStageCharacteristic
Indicates that the specified characteristic is exhibited during the adult life stage of an organism.
-
B.
hasAdultLifeIn
Indicates that an entity spends or experiences its adult stage of life within a specified location or environment.
-
C.
adultRole
Indicates that an entity fulfills an adult-specific role or responsibility in relation to another entity or context.
-
D.
lifeStage
Indicates the specific phase or period in an entity’s development or lifecycle that it is currently in.
-
E.
cameOfAge
Indicates that an entity reached the age or stage of maturity at which it is considered an adult or fully responsible.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e57e648190aa4d3b09e84d4d38 |
completed | April 20, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 11:59 a.m.