Triple
T20674930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarhead: A Marine's Chronicle of the Gulf War and Other Battles |
E508132
|
entity |
| Predicate | militaryRoleDepicted |
P9463
|
FINISHED |
| Object | sniper |
—
|
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: sniper | Statement: [Jarhead: A Marine's Chronicle of the Gulf War and Other Battles, militaryRoleDepicted, sniper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryRoleDepicted Context triple: [Jarhead: A Marine's Chronicle of the Gulf War and Other Battles, militaryRoleDepicted, sniper]
-
A.
militaryRole
chosen
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
B.
favoredMilitaryRole
Indicates the military position, function, or specialization that an entity prefers or is most inclined to choose.
-
C.
formerMilitaryRole
Indicates that an entity previously held, but no longer holds, a specific military role or position.
-
D.
roleDuringBlackHawkWar
Indicates the specific role, position, or function an entity held during the Black Hawk War.
-
E.
militaryPerson
Indicates that the subject is a member of the armed forces or serves in a formal military capacity.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cdbec48190a945261c41d810ce |
completed | April 20, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:44 a.m.