Triple
T9149088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 23rd Infantry Division |
E219534
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Americal
Americal was the nickname of the U.S. Army’s 23rd Infantry Division, a World War II–era unit known for its service in the Pacific Theater and later in the Vietnam War.
|
E781204
|
NE FINISHED |
How this triple was built (4 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: Americal | Statement: [23rd Infantry Division, nickname, Americal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Americal Context triple: [23rd Infantry Division, nickname, Americal]
-
A.
AMERICAN
AMERICAN is the radio callsign used by pilots and air traffic control to identify flights operated by American Airlines.
-
B.
Amer
Amer is a common Arabic surname borne by various notable individuals across the Middle East and North Africa.
-
C.
D’Amérique
D’Amérique is a modernist artwork by French avant-garde artist Francis Picabia, reflecting his experimental approach within the Dada and early abstract movements.
-
D.
Amerika
Amerika is a novel by Franz Kafka that follows a young European immigrant’s surreal and often absurd experiences in the United States.
-
E.
American
American refers to a person from or associated with the United States of America, typically holding its citizenship and sharing in its national culture and identity.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Americal Triple: [23rd Infantry Division, nickname, Americal]
Generated description
Americal was the nickname of the U.S. Army’s 23rd Infantry Division, a World War II–era unit known for its service in the Pacific Theater and later in the Vietnam War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Americal Target entity description: Americal was the nickname of the U.S. Army’s 23rd Infantry Division, a World War II–era unit known for its service in the Pacific Theater and later in the Vietnam War.
-
A.
AMERICAN
AMERICAN is the radio callsign used by pilots and air traffic control to identify flights operated by American Airlines.
-
B.
Amer
Amer is a common Arabic surname borne by various notable individuals across the Middle East and North Africa.
-
C.
D’Amérique
D’Amérique is a modernist artwork by French avant-garde artist Francis Picabia, reflecting his experimental approach within the Dada and early abstract movements.
-
D.
Amerika
Amerika is a novel by Franz Kafka that follows a young European immigrant’s surreal and often absurd experiences in the United States.
-
E.
American
American refers to a person from or associated with the United States of America, typically holding its citizenship and sharing in its national culture and identity.
- F. None of above. chosen
Provenance (5 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96908d88190a1d12517f6d1aece |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d04833858081909b616325f0e6f787 |
completed | April 3, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_69d0496672a881909c1ac91a7ec1a2a1 |
completed | April 3, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d04a35451881909dfe6795b743b026 |
completed | April 3, 2026, 11:16 p.m. |
Created at: March 30, 2026, 7:20 p.m.