Triple
T6697595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Helm |
E152789
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Helm |
E485618
|
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: [Anne Helm, hasFamilyName, Helm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helm Context triple: [Anne Helm, hasFamilyName, Helm]
-
A.
Helm
chosen
Helm is a surname of Germanic origin borne by various notable individuals, including members of prominent American families.
-
B.
Helm
Helm is a popular package manager for Kubernetes that simplifies defining, installing, and upgrading complex containerized applications using reusable charts.
-
C.
Hengist Pod
Hengist Pod is a timid British slave-turned-reluctant hero and inventor in the 1964 comedy film "Carry On Cleo."
-
D.
Helikon
Helikon is a mountain in Greek mythology, often associated with the Muses and poetic inspiration.
-
E.
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.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a4da9881908d79c410b4cff868 |
completed | March 27, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7bd965881908a128d97f1c94dd0 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:05 p.m.