Triple
T3664531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Lily (1924 film) |
E77728
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | William Orlamond |
E269552
|
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: William Orlamond | Statement: [The Red Lily (1924 film), starredActor, William Orlamond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Orlamond Context triple: [The Red Lily (1924 film), starredActor, William Orlamond]
-
A.
William Orlamond
chosen
William Orlamond was a Danish-born American character actor of the silent film era who appeared in numerous Hollywood productions in the 1910s and 1920s.
-
B.
Richard Bellingham
Richard Bellingham was a 17th-century colonial magistrate and politician who served multiple terms as governor of the Massachusetts Bay Colony.
-
C.
William Walmsley
William Walmsley was a British entrepreneur and co-founder of the company that evolved into the Jaguar car marque.
-
D.
John Loder
John Loder was a British-born film and television actor active from the 1920s to the 1960s, known for his roles in Hollywood and British cinema.
-
E.
John Knightbridge
John Knightbridge was a benefactor whose legacy in moral philosophy is commemorated through a prestigious professorship at the University of Cambridge.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3fe5eb08190ab15044acf9ac8a9 |
completed | March 8, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4e0abd08190895897c62a7a5243 |
completed | March 14, 2026, 4:32 a.m. |
Created at: March 8, 2026, 3:25 p.m.