Triple
T37927248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zim |
E946125
|
entity |
| Predicate | commandingOfficers |
P195753
|
FINISHED |
| Object | The Almighty Tallest Red |
—
|
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: The Almighty Tallest Red | Statement: [Zim, commandingOfficers, The Almighty Tallest Red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandingOfficers Context triple: [Zim, commandingOfficers, The Almighty Tallest Red]
-
A.
commandingOfficerService
Indicates that one entity serves as the commanding officer responsible for the military service or duty of another entity.
-
B.
commandingOfficerRank
Indicates the military rank held by the officer who has command authority over a given individual or unit.
-
C.
chiefOfGeneralStaff
Indicates that a person holds the position of Chief of the General Staff in relation to a specific military organization or armed forces.
-
D.
commandingOfficerTimeline
Indicates the chronological sequence of individuals or roles that have served as the commanding officer for a given entity over time.
-
E.
chiefOfStaff
Indicates that one entity serves as the chief of staff for another entity, typically managing operations and coordinating activities on its behalf.
- 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
| PDg | Predicate description generation | batch_69fde49953c481909ac352ab36fa9ff2 |
completed | May 8, 2026, 1:26 p.m. |
Created at: May 3, 2026, 4:20 p.m.