Triple
T14906158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lars Hirschfeld |
E360135
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hirschfeld |
E992163
|
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: Hirschfeld | Statement: [Lars Hirschfeld, familyName, Hirschfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hirschfeld Context triple: [Lars Hirschfeld, familyName, Hirschfeld]
-
A.
Hirschfeld
chosen
Hirschfeld is a surname of German origin most notably associated with figures such as sexologist Magnus Hirschfeld.
-
B.
Hirschfeld on Line
Hirschfeld on Line is a collection showcasing Al Hirschfeld’s distinctive caricature art, adapted for digital or online presentation.
-
C.
The World of Hirschfeld
The World of Hirschfeld is a celebrated collection showcasing Al Hirschfeld’s distinctive caricature drawings of famous performers and theatrical personalities.
-
D.
Frauenthal
Frauenthal is a historic theater and cultural landmark in Muskegon, Michigan, known for hosting a wide range of performing arts events.
-
E.
Al Hirschfeld
Al Hirschfeld was a renowned American caricaturist best known for his distinctive line drawings of Broadway and Hollywood celebrities.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60cd5588190b1efecc2b220da69 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b7640c8190b463f69fb67fd30a |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:12 a.m.