Triple
T35270773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medal of Honor |
E1018659
|
entity |
| Predicate | entailsHonor |
P63307
|
FINISHED |
| Object | lifetime recognition |
—
|
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: lifetime recognition | Statement: [Medal of Honor, entailsHonor, lifetime recognition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entailsHonor Context triple: [Medal of Honor, entailsHonor, lifetime recognition]
-
A.
isHonor
Indicates that one entity is regarded as an honor, distinction, or source of prestige for another entity.
-
B.
hasHonorPrinciple
Indicates that an entity adheres to or is guided by a specific principle related to honor or honorable conduct.
-
C.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
D.
primacyOfHonorOver
Indicates that one entity is regarded as having higher honor, status, or precedence than another.
-
E.
honourOf
chosen
Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
- 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f9fabdc8190818a4032238abf08 |
completed | May 3, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.