Triple
T6996729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Haller |
E162233
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Henry Haller |
E162233
|
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: Henry Haller | Statement: [Henry Haller, name, Henry Haller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Haller Context triple: [Henry Haller, name, Henry Haller]
-
A.
Henry Haller
chosen
Henry Haller was a Swiss-born American chef best known for serving as White House Executive Chef for multiple U.S. presidents from the Johnson through the Reagan administrations.
-
B.
Hugo Carmody
Hugo Carmody is a charming, somewhat hapless young gentleman from P. G. Wodehouse’s Blandings Castle stories, often embroiled in romantic entanglements and comic misadventures.
-
C.
Mark Weissenstern
Mark Weissenstern is an electronics industry figure best known as a founder of the semiconductor company Signetics.
-
D.
Hendrik Sartov
Hendrik Sartov was a cinematographer best known for his work on silent-era films, including collaborations with major directors and stars of the 1920s.
-
E.
Treves
Treves was a prominent Italian publishing house known for issuing major literary works in the late 19th and early 20th centuries.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbedafa48190af0d2b47e3a1e17e |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a2465908190b69454f6215365b0 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:32 p.m.