Triple
T20385119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almost Angels |
E497938
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Hans Holt |
—
|
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: Hans Holt | Statement: [Almost Angels, castMember, Hans Holt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans Holt Context triple: [Almost Angels, castMember, Hans Holt]
-
A.
Hans Holt
chosen
Hans Holt was an Austrian actor known for his roles in mid-20th-century German-language cinema and international productions.
-
B.
Hans Hansen
Hans Hansen is a central character in Thomas Mann's novella "Tonio Kröger," representing the idealized, conventional bourgeois youth who contrasts with the artistic, introspective protagonist.
-
C.
Thomas Heggen
Thomas Heggen was an American author best known for his World War II–era novel "Mister Roberts," which became a hugely successful play and film.
-
D.
George Hansen
George Hansen is a fictional character from the 1958 Western film "Terror in a Texas Town."
-
E.
George Hansen
George Hansen is a relatively common personal name that may refer to multiple individuals across different fields, such as politics, sports, or academia.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790a31a4819099b2e6df2bafe547 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.