Triple
T10973656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Myers at Hillcrest Academy |
E259312
|
entity |
| Predicate | includesVictimGroup |
P699
|
FINISHED |
| Object | John Tate’s friends |
—
|
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: John Tate’s friends | Statement: [Michael Myers at Hillcrest Academy, includesVictimGroup, John Tate’s friends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesVictimGroup Context triple: [Michael Myers at Hillcrest Academy, includesVictimGroup, John Tate’s friends]
-
A.
includesVictimProfile
Indicates that an instance contains or references information describing the characteristics or details of a victim.
-
B.
victimGroup
chosen
Indicates that one group or entity is the target or recipient of harm, abuse, or wrongdoing caused by another.
-
C.
victimGroupContext
Indicates the contextual circumstances or setting in which a victim group is targeted, affected, or involved in an event or action.
-
D.
isVictimOf
Indicates that one entity suffers harm, loss, or wrongdoing as a result of another entity’s actions or events.
-
E.
accusedGroup
Indicates that one group is formally charged or blamed by another party for committing a wrongdoing or offense.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719c16648190ab5a87abb1c61990 |
completed | April 9, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.