Triple
T20701811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirsch |
E508802
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Hirschmann |
—
|
NE NERFINISHED |
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: Hirschmann | Statement: [Hirsch, hasCognate, Hirschmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hirschmann Context triple: [Hirsch, hasCognate, Hirschmann]
-
A.
Hirschmann
chosen
Hirschmann is a surname of German origin borne by various notable individuals across fields such as diplomacy, engineering, and academia.
-
B.
Tesira
Tesira is Biamp Systems’ networked audio and video platform known for scalable, DSP-based solutions in professional AV installations.
-
C.
Arista Nashville
Arista Nashville is a country music record label based in Nashville, Tennessee, known for signing and promoting prominent country artists.
-
D.
3Com
3Com was an American digital electronics and networking company best known for its Ethernet and network interface products before being acquired by Hewlett-Packard.
-
E.
Ravernet
Ravernet is a small village in County Down, Northern Ireland, situated near Lisburn within the Lisburn and Castlereagh district.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18bfac08190bf80beeb3ce1951a |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:12 p.m.