Triple
T18689677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major T. J. "King" Kong |
E456957
|
entity |
| Predicate | commandsUnit |
P95229
|
FINISHED |
| Object | B-52 bomber crew |
—
|
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: B-52 bomber crew | Statement: [Major T. J. "King" Kong, commandsUnit, B-52 bomber crew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandsUnit Context triple: [Major T. J. "King" Kong, commandsUnit, B-52 bomber crew]
-
A.
commands
Indicates that one entity holds authority over another and issues directives or orders that the other is expected to follow.
-
B.
commandOf
Indicates that one entity holds authoritative control or leadership over another, typically in a military, organizational, or hierarchical context.
-
C.
typeOfUnitCommanded
chosen
Indicates the specific type or category of military or organizational unit that an entity is in command of.
-
D.
commandCategory
Indicates that an action or command is classified into a specific category or type based on its function or purpose.
-
E.
commandType
Indicates the specific kind or category of command being issued or executed in the relationship.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e28e5c8190b0033c1667d50e05 |
completed | April 19, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.