Triple
T28821046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lester Billings |
E727763
|
entity |
| Predicate | believesKilledHisChildren |
P165798
|
FINISHED |
| Object | the Boogeyman |
E1838254
|
NE 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: the Boogeyman | Statement: [Lester Billings, believesKilledHisChildren, the Boogeyman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: believesKilledHisChildren Context triple: [Lester Billings, believesKilledHisChildren, the Boogeyman]
-
A.
allegedToHaveKilled
Indicates that one entity is claimed or accused, but not proven, to have killed another entity.
-
B.
childrenKilledBy
Indicates that the children of a given entity were killed by another specified entity or agent.
-
C.
numberOfChildrenMurdered
Indicates the count of children who have been killed in an act of murder.
-
D.
sonsKilledBy
Indicates that the referenced sons are those who were killed by the specified agent or entity.
-
E.
killedFamilyOf
Indicates that one entity caused the death of one or more members of another entity’s family.
- F. None of above. chosen
Provenance (5 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a24ec2973948190a0b86e82ca67f748 |
completed | June 7, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a6babcc81908052c9907a99c882 |
completed | May 2, 2026, 8:11 p.m. |
Created at: April 28, 2026, 6:34 a.m.