Triple
T15088407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jochen Hecht |
E360344
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hecht |
E574115
|
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: Hecht | Statement: [Jochen Hecht, familyName, Hecht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hecht Context triple: [Jochen Hecht, familyName, Hecht]
-
A.
Hecht
chosen
Hecht is a surname of German and Jewish origin borne by various notable individuals across fields such as literature, politics, and science.
-
B.
Barracuda
Barracuda is Seagate Technology’s long-running family of consumer and desktop hard disk drives known for high capacity and mainstream performance.
-
C.
Barracuda
Barracuda is a tropical-style rum-based cocktail typically featuring pineapple and lime flavors, often served as a refreshing, fruity mixed drink.
-
D.
Weisskopf
Weisskopf is a German-language surname borne by various notable individuals in fields such as physics, music, and the arts.
-
E.
Grampus
Grampus is a Japanese professional football club based in Nagoya that competes in the J1 League.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00276d1608190bc310d5b86ecd1d5 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1ba4208190b1e8c55668a1b422 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.