Triple
T15207595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo Häring |
E363428
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hugo |
E37442
|
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: Hugo | Statement: [Hugo Häring, givenName, Hugo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugo Context triple: [Hugo Häring, givenName, Hugo]
-
A.
Hugo
chosen
Hugo is a masculine given name of Germanic origin, commonly used in various European and Spanish-speaking countries.
-
B.
Hugo
Hugo is a 2011 fantasy adventure film directed by Martin Scorsese, acclaimed for its innovative use of 3D and its homage to early cinema and filmmaker Georges Méliès.
-
C.
Hugo
Hugo is a tragic young character from the manga series "Gunnm" (also known as "Battle Angel Alita"), whose dreams of reaching the floating city Zalem drive much of the early emotional narrative.
-
D.
HUGO
HUGO is a contemporary fashion line by Hugo Boss known for its modern, trend-driven clothing and accessories aimed at a younger, style-conscious audience.
-
E.
Hugo and the Impossible Thing
"Hugo and the Impossible Thing" is a children's picture book that follows a determined little dog who inspires his forest friends to tackle a seemingly impossible challenge through courage and teamwork.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b8e2788190bd1831762e4181ae |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33dbda08190a10ba81082d0d183 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.