Triple
T14464320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helga Gumm |
E358666
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gumm |
E21962
|
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: Gumm | Statement: [Helga Gumm, familyName, Gumm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gumm Context triple: [Helga Gumm, familyName, Gumm]
-
A.
Gumm
chosen
Gumm is the birth surname of American actress and singer Judy Garland, originally Frances Ethel Gumm.
-
B.
Gumdrop
Gumdrop was the nickname given to the Apollo 9 command module, used in 1969 to test the lunar module and docking procedures in Earth orbit during NASA’s Apollo program.
-
C.
Goo
Goo is an energetic, talkative girl from the animated series "Foster's Home for Imaginary Friends" known for her overactive imagination and rapid-fire speech.
-
D.
Goo
Goo is a 1990 alternative rock album by Sonic Youth, noted for its noisy guitar sound and influential role in bringing underground rock toward the mainstream.
-
E.
Gumdag
Gumdag is a town in western Turkmenistan located within the Balkan Region, known primarily as a local center in an oil- and gas-producing area.
- 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.