Triple
T15901304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chesty Puller |
E385593
|
entity |
| Predicate | numberOfNavyCrosses |
P120980
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Chesty Puller, numberOfNavyCrosses, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNavyCrosses Context triple: [Chesty Puller, numberOfNavyCrosses, 5]
-
A.
isMilitaryAwardFor
Indicates that something is a military honor or decoration given in recognition of a specific action, service, or achievement.
-
B.
medalOfHonorPosthumous
Indicates that a Medal of Honor was awarded to an individual after their death.
-
C.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
D.
battleHonors
Indicates that an entity has been awarded or is associated with specific honors or distinctions earned through participation in battles or military engagements.
-
E.
MedalOfHonorCitationIncludes
Indicates that a Medal of Honor citation document contains or mentions a specified element, detail, or content.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:52 a.m.