Triple
T14130721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlen Maguire |
E350156
|
entity |
| Predicate | killsAsPartOfJob |
P112924
|
FINISHED |
| Object | targets for hire |
—
|
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: targets for hire | Statement: [Harlen Maguire, killsAsPartOfJob, targets for hire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: killsAsPartOfJob Context triple: [Harlen Maguire, killsAsPartOfJob, targets for hire]
-
A.
skillSet
Indicates that an entity possesses or is associated with a particular collection of skills or competencies.
-
B.
skilledIn
Indicates that an entity possesses ability, expertise, or proficiency in performing or using another entity (such as a task, tool, or domain).
-
C.
indicatesSkill
Indicates a relationship where one entity possesses, demonstrates, or is associated with a particular skill represented by another entity.
-
D.
notableRecruitingSkill
Indicates that an entity is recognized for having significant or distinguished ability in recruiting others.
-
E.
skillAssessed
Indicates that an entity’s skill or competency has been evaluated or measured, typically by another agent or process.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610aa434819096671c5aabb9134a |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:47 p.m.