Triple
T5101984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Professor |
E114999
|
entity |
| Predicate | plansFor |
P14398
|
FINISHED |
| Object | hostage management strategies |
—
|
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: hostage management strategies | Statement: [The Professor, plansFor, hostage management strategies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plansFor Context triple: [The Professor, plansFor, hostage management strategies]
-
A.
plannedWith
Indicates that an entity created or arranged a plan in collaboration or coordination with another entity.
-
B.
plan
chosen
Indicates that an entity intends or arranges for a future action or sequence of actions to occur.
-
C.
planner
Indicates that an entity is responsible for organizing, scheduling, or coordinating activities, tasks, or resources.
-
D.
planned
Indicates that an entity has intentionally arranged or scheduled another entity or event to occur in the future.
-
E.
partOfPlan
Indicates that one entity is included as a component or step within a broader plan or strategy.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7584ed408190a6d1086588f24faa |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:41 p.m.