Triple
T11769624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Rennie |
E279862
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Harry Lime |
E754469
|
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: Harry Lime | Statement: [Michael Rennie, portrayed, Harry Lime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Lime Context triple: [Michael Rennie, portrayed, Harry Lime]
-
A.
Harry Lime
chosen
Harry Lime is the charismatic yet morally ambiguous racketeer portrayed by Orson Welles in the classic film noir "The Third Man."
-
B.
Martin Max
Martin Max is a former German professional footballer and prolific striker best known for his goal-scoring exploits in the Bundesliga.
-
C.
Felix Krull
Felix Krull is the charming, quick-witted con artist and social climber who narrates Thomas Mann’s picaresque novel "The Confessions of Felix Krull."
-
D.
Rosa Klebb
Rosa Klebb is a fictional Soviet counterintelligence officer and SPECTRE operative who serves as the main antagonist in the James Bond novel and film "From Russia with Love," notorious for her ruthlessness and poison-tipped shoe blade.
-
E.
Frank Gruber
Frank Gruber was an American writer best known for his prolific work in pulp fiction, mystery and Western novels, and Hollywood screenplays.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55c9f988190b203b66a28c767ae |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09075aba8819082434a43473025bd |
completed | April 28, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:41 p.m.