Triple
T19040101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendrik Hertzberg |
E465976
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hendrik Hertzberg |
—
|
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: Hendrik Hertzberg | Statement: [Hendrik Hertzberg, name, Hendrik Hertzberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hendrik Hertzberg Context triple: [Hendrik Hertzberg, name, Hendrik Hertzberg]
-
A.
Hendrik Hertzberg
chosen
Hendrik Hertzberg is an American journalist and longtime New Yorker staff writer and editor known for his incisive political commentary and essays.
-
B.
Johannes Duiker
Johannes Duiker was a pioneering Dutch modernist architect known for his innovative functionalist designs and major contributions to the Nieuwe Bouwen movement.
-
C.
Philip Liebmann
Philip Liebmann was the husband of American film actress Linda Darnell.
-
D.
William Berger
William Berger was an Austrian-born actor best known for his prolific work in Italian genre cinema, particularly Spaghetti Westerns of the 1960s and 1970s.
-
E.
Robert Liebmann
Robert Liebmann was a German screenwriter best known for his work on influential Weimar-era films, including the classic Marlene Dietrich vehicle "The Blue Angel."
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80054c88190a9d3a49aed504235 |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:02 p.m.