Triple

T29465440
Position Surface form Disambiguated ID Type / Status
Subject AC-130J Ghostrider E747364 entity
Predicate armament P706 FINISHED
Object AGM-176 Griffin missile
The AGM-176 Griffin missile is a lightweight, precision-guided air-to-surface weapon developed by the United States for use from aircraft, helicopters, and unmanned aerial vehicles against soft targets with minimal collateral damage.
E1868420 NE 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: AGM-176 Griffin missile | Statement: [AC-130J Ghostrider, armament, AGM-176 Griffin missile]
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: AGM-176 Griffin missile
Triple: [AC-130J Ghostrider, armament, AGM-176 Griffin missile]
Generated description
The AGM-176 Griffin missile is a lightweight, precision-guided air-to-surface weapon developed by the United States for use from aircraft, helicopters, and unmanned aerial vehicles against soft targets with minimal collateral damage.

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_69f0bd4125f88190b56104591351619c completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66ba6316c8190a84523b9bd642e9a completed May 2, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f115d4788190b7604baf3d9f84ec completed June 7, 2026, 10:30 p.m.
NEDg Description generation batch_6a25f6362f6081909a04ef3fbd5bb67f completed June 7, 2026, 10:52 p.m.
NED2 Entity disambiguation (via description) batch_6a25fa9d98d08190aef6fb0a1779f501 completed June 7, 2026, 11:11 p.m.
Created at: April 28, 2026, 3:52 p.m.