Triple
T14267697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Hirsch |
E353691
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hirsch |
E508802
|
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: Hirsch | Statement: [Greg Hirsch, familyName, Hirsch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hirsch Context triple: [Greg Hirsch, familyName, Hirsch]
-
A.
Hirsch
chosen
Hirsch is a surname of German and Ashkenazi Jewish origin, meaning "deer," borne by various notable individuals across fields such as acting, science, and politics.
-
B.
Hirschhorn
Hirschhorn is a German-language surname borne by various notable individuals, including contemporary Swiss artist Thomas Hirschhorn.
-
C.
Hirschberg
Hirschberg is a hill in Germany’s Siebengebirge range, known for its forested slopes and hiking trails within this volcanic low-mountain landscape.
-
D.
Hirschberg
Hirschberg is the former German name for the city now known as Jelenia Góra in southwestern Poland, a historic town in the Lower Silesia region.
-
E.
Hirzel
Hirzel is a small Swiss village in the canton of Zurich, known as the birthplace of "Heidi" author Johanna Spyri.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326551b08190ae8fe220a6422339 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:09 a.m.