Triple
T34404391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Headquarters and Headquarters Company |
E883068
|
entity |
| Predicate | hasSecondInCommand |
P111198
|
FINISHED |
| Object | executive officer |
—
|
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: executive officer | Statement: [Headquarters and Headquarters Company, hasSecondInCommand, executive officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondInCommand Context triple: [Headquarters and Headquarters Company, hasSecondInCommand, executive officer]
-
A.
hadSecondInCommand
chosen
Indicates that one entity had another entity serving as its second-in-command or primary subordinate leader.
-
B.
hasCommander
Indicates that one entity serves as the commanding officer or leader of another entity.
-
C.
hasCommandant
Indicates that an entity is under the authority or leadership of a specific commandant.
-
D.
hasSecondGenerationLeader
Indicates that an entity is led or governed by a leader belonging to its second generation of leadership.
-
E.
hasCommanderRank
Indicates that an entity holds the military or organizational rank of commander within a specified hierarchy or context.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ffc605b0648190a7abe9128b0d857a |
completed | May 9, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69ffc5742d80819099f947ece78d5700 |
completed | May 9, 2026, 11:38 p.m. |
Created at: May 1, 2026, 1:59 a.m.