Triple
T2512186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilhelm |
E52726
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Helm |
E184358
|
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: Helm | Statement: [Wilhelm, hasShortForm, Helm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helm Context triple: [Wilhelm, hasShortForm, Helm]
-
A.
Helm
chosen
Helm is a popular package manager for Kubernetes that simplifies defining, installing, and upgrading complex containerized applications using reusable charts.
-
B.
Heed
Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
-
C.
Aegis
Aegis is a distributed, capability-based operating system developed at MIT in the 1980s, known for its fine-grained security model and use in the Apollo/Domain workstation environment.
-
D.
Hamoaze
Hamoaze is a tidal estuarial stretch of the River Tamar in southwest England, forming part of Plymouth Sound and serving as an important naval waterway.
-
E.
Hawzen
Hawzen is a town in northern Ethiopia’s Tigray Region, known for its nearby rock-hewn churches and its role in the region’s modern conflicts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1efb5c48190a9b47b39a388412b |
completed | March 7, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1faed61481909f13b8a014b39ed3 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:46 p.m.