Triple
T6728529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Center for Army Lessons Learned |
E153576
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CALL
CALL is the U.S. Army’s Center for Army Lessons Learned, an organization that collects, analyzes, and disseminates operational insights to improve military training and doctrine.
|
E615580
|
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: CALL | Statement: [Center for Army Lessons Learned, abbreviation, CALL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CALL Context triple: [Center for Army Lessons Learned, abbreviation, CALL]
-
A.
Call
Call is a surname most notably associated with Flora Call Disney, the mother of Walt Disney.
-
B.
Calling
"Calling" is a song featured on the album *The Way I See It* by soul artist Raphael Saadiq.
-
C.
Tele
Tele is a classic solid-body electric guitar model by Fender, renowned for its bright, cutting tone and simple, durable design.
-
D.
Call Jane
Call Jane is a 2022 American drama film about a 1960s housewife who seeks an underground abortion network, featuring Sigourney Weaver in a prominent supporting role.
-
E.
Mail Call
Mail Call is a permanent exhibition at the Smithsonian’s National Postal Museum that explores the history and impact of military mail on service members and their families.
- 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: CALL Triple: [Center for Army Lessons Learned, abbreviation, CALL]
Generated description
CALL is the U.S. Army’s Center for Army Lessons Learned, an organization that collects, analyzes, and disseminates operational insights to improve military training and doctrine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CALL Target entity description: CALL is the U.S. Army’s Center for Army Lessons Learned, an organization that collects, analyzes, and disseminates operational insights to improve military training and doctrine.
-
A.
Call
Call is a surname most notably associated with Flora Call Disney, the mother of Walt Disney.
-
B.
Calling
"Calling" is a song featured on the album *The Way I See It* by soul artist Raphael Saadiq.
-
C.
Tele
Tele is a classic solid-body electric guitar model by Fender, renowned for its bright, cutting tone and simple, durable design.
-
D.
Call Jane
Call Jane is a 2022 American drama film about a 1960s housewife who seeks an underground abortion network, featuring Sigourney Weaver in a prominent supporting role.
-
E.
Mail Call
Mail Call is a permanent exhibition at the Smithsonian’s National Postal Museum that explores the history and impact of military mail on service members and their families.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d153ef9c8190a31021227d814d82 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70afea37881909a4fdce4b3229e38 |
completed | March 27, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69c70be7d9308190b7e4e36e89c12773 |
completed | March 27, 2026, 10:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70c618a2c819097e0cfd869bf99b7 |
completed | March 27, 2026, 11:01 p.m. |
Created at: March 27, 2026, 2:08 p.m.