Triple

T25516179

Position	Surface form	Disambiguated ID	Type / Status
Subject	Screaming Eagle shoulder sleeve insignia	`E639513`	entity
Predicate	hasMottoOnScroll	`P141177`	FINISHED
Object	AIRBORNE AIRBORNE is the motto displayed on the scroll of the U.S. Army’s 101st Airborne Division “Screaming Eagle” shoulder sleeve insignia, signifying its parachute and air-assault capabilities.	`E1683707`	NE FINISHED

How this triple was built (3 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: AIRBORNE | Statement: [Screaming Eagle shoulder sleeve insignia, hasMottoOnScroll, AIRBORNE]

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: AIRBORNE
Triple: [Screaming Eagle shoulder sleeve insignia, hasMottoOnScroll, AIRBORNE]

Generated description

AIRBORNE is the motto displayed on the scroll of the U.S. Army’s 101st Airborne Division “Screaming Eagle” shoulder sleeve insignia, signifying its parachute and air-assault capabilities.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasMottoOnScroll
Context triple: [Screaming Eagle shoulder sleeve insignia, hasMottoOnScroll, AIRBORNE]

A. hasMottoLikeFunction
Indicates that something serves a role or function similar to a motto, typically expressing a guiding principle, slogan, or core message.
B. hasMottoScript
Indicates that an entity’s motto is written or expressed in a particular writing system or script.
C. hasMottoInText
Indicates that an entity has a motto expressed in a specific textual form or wording.
D. hasMottoDepiction
Indicates that something visually represents or depicts the motto associated with an entity.
E. mottoIncluded chosen
Indicates that a motto is present as part of, or associated with, the referenced entity.
F. None of above.

Provenance (6 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_69e75dbe32e48190a62d749a0ff2a96a`	completed	April 21, 2026, 11:21 a.m.
NER	Named-entity recognition	`batch_69f661b58ac48190907b6c6e9ccc2c59`	completed	May 2, 2026, 8:42 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10ad82159881909b6b37d46c5350a3`	completed	May 22, 2026, 7:24 p.m.
NEDg	Description generation	`batch_6a10adf21b3c8190a7388b1a74faf65e`	completed	May 22, 2026, 7:26 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10af5c912c81908164148277047f40`	completed	May 22, 2026, 7:32 p.m.
PD	Predicate disambiguation	`batch_69f660eea4648190b0d5e24293607813`	completed	May 2, 2026, 8:39 p.m.

Created at: April 21, 2026, 2:56 p.m.