Triple
T12806467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haller |
E306154
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Daniel Haller |
E731003
|
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: Daniel Haller | Statement: [Haller, hasNotableBearer, Daniel Haller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Haller Context triple: [Haller, hasNotableBearer, Daniel Haller]
-
A.
Daniel Haller
chosen
Daniel Haller was an American art director and film director best known for his work on low-budget horror films, particularly adaptations of Edgar Allan Poe stories for Roger Corman in the 1960s.
-
B.
Daniel Osbourne
Daniel Osbourne is a fictional character from the television series "Buffy the Vampire Slayer," known as the quiet, guitar-playing werewolf and love interest of Willow Rosenberg.
-
C.
Mark Weissenstern
Mark Weissenstern is an electronics industry figure best known as a founder of the semiconductor company Signetics.
-
D.
Tobias Bergmann
Tobias Bergmann is a German local politician who serves as the mayor of the city of Neumünster in Schleswig-Holstein.
-
E.
Matthias Ettrich
Matthias Ettrich is a German software engineer best known for founding the KDE project, one of the major free and open-source desktop environments for Unix-like systems.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7f370c8190b3fc39c1b63394c6 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ec6556081909375fada79ddcb8c |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:31 p.m.