Triple
T29942515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Patriot (Marvel Cinematic Universe) |
E760535
|
entity |
| Predicate | notableWearerRank |
P207198
|
FINISHED |
| Object | Colonel |
—
|
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: Colonel | Statement: [Iron Patriot (Marvel Cinematic Universe), notableWearerRank, Colonel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableWearerRank Context triple: [Iron Patriot (Marvel Cinematic Universe), notableWearerRank, Colonel]
-
A.
notableRank
Indicates that an entity holds a distinguished or significant position or level within a ranking or hierarchy.
-
B.
notableWearers
Indicates that certain entities are especially well-known for wearing or having worn the specified item.
-
C.
wearerRankCategory
Indicates the classification of the wearer's rank into a broader rank category (e.g., junior, senior, officer, etc.) within a ranking system.
-
D.
wearerRankRange
Indicates the range of ranks that an individual must fall within in order to be permitted or intended to wear a specified item.
-
E.
hasInsigniaWornBy
Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 6:23 p.m.