Triple
T10814610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Ritter von Halt |
E255191
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Halt |
E255191
|
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: Halt | Statement: [Karl Ritter von Halt, familyName, Halt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halt Context triple: [Karl Ritter von Halt, familyName, Halt]
-
A.
Halt
chosen
Halt is the surname of Karl Ritter von Halt, a notable German sports official and International Olympic Committee member in the early to mid-20th century.
-
B.
Henti
Henti was a queen of the Hittite Empire, known primarily as the wife of the powerful 14th-century BCE king Suppiluliuma I.
-
C.
Stop-Time
Stop-Time is a critically acclaimed memoir by Frank Conroy that vividly recounts his turbulent childhood and coming-of-age with novelistic intensity.
-
D.
Stop
"Stop" is a 1998 upbeat pop single by the Spice Girls, known for its Motown-inspired sound and catchy choreography.
-
E.
Stop
"Stop" is a comedic musical number from the stage adaptation of Mean Girls in which characters are urged to pause and think before acting impulsively.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733ece4488190b553a66c4b5188bc |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8546b41081909e13152c4df2eb1c |
completed | April 14, 2026, 6:19 p.m. |
Created at: April 8, 2026, 9:18 p.m.