Triple
T14464321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helga Gumm |
E358666
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Helga |
E319163
|
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: Helga | Statement: [Helga Gumm, givenName, Helga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helga Context triple: [Helga Gumm, givenName, Helga]
-
A.
Helga
chosen
Helga is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
B.
Helga Gumm
Helga Gumm is a character in the "Spy Kids" film series, known as the grandmother of the Cortez children and a former spy herself.
-
C.
Helga von Schabbs
Helga von Schabbs is a high-ranking Nazi occultist and primary antagonist in the video game Wolfenstein: The Old Blood, known for her obsession with dark supernatural powers.
-
D.
Helga Crane
Helga Crane is the conflicted, biracial protagonist of Nella Larsen’s novel "Quicksand," whose search for identity and belonging exposes the complexities of race, gender, and class in early 20th-century America.
-
E.
Baerbel
Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91ad67bc81908ecdaa7262f6dc55 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64973dc08190ab893c95ea3f066c |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.