Triple
T28987261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Carpenter |
E734720
|
entity |
| Predicate | developsPlanToHelp |
P146745
|
FINISHED |
| Object | Christina Sickleman |
—
|
NE NERFINISHED |
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: Christina Sickleman | Statement: [Henry Carpenter, developsPlanToHelp, Christina Sickleman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developsPlanToHelp Context triple: [Henry Carpenter, developsPlanToHelp, Christina Sickleman]
-
A.
inspiredActionPlan
Indicates that one entity’s example, ideas, or influence motivated another entity to create or adopt a specific course of action or plan.
-
B.
planningChallenge
Indicates a situation where creating, organizing, or coordinating a plan is difficult or problematic for the involved entities.
-
C.
planEffectiveFor
Indicates that a particular plan is suitable or successful in achieving desired outcomes for a given entity, context, or objective.
-
D.
planningSupport
chosen
Indicates that one entity provides assistance, resources, or guidance to another in the process of planning or preparing for something.
-
E.
planningSkill
Indicates the degree to which an entity is capable of effectively organizing, sequencing, and coordinating actions or resources to achieve goals.
- 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 28, 2026, 9:15 a.m.