Triple
T6925204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Raye |
E160287
|
entity |
| Predicate | militaryHonor |
P19685
|
FINISHED |
| Object | Honorary Colonel in the U.S. Army |
—
|
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: Honorary Colonel in the U.S. Army | Statement: [Martha Raye, militaryHonor, Honorary Colonel in the U.S. Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryHonor Context triple: [Martha Raye, militaryHonor, Honorary Colonel in the U.S. Army]
-
A.
battleHonors
Indicates that an entity has been awarded or is associated with specific honors or distinctions earned through participation in battles or military engagements.
-
B.
militaryAward
chosen
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
C.
burialHonors
Indicates a relationship where an entity is recognized or commemorated with special respect or distinction in the context of their burial or interment.
-
D.
honourOf
Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
-
E.
militaryTradition
Indicates a relationship where a group, place, or institution is associated with a specific historical or cultural practice of military service, customs, or heritage.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da18b6388190947dfc1eb9e5d382 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:26 p.m.