Triple
T11235009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Random Harvest |
E265920
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Henry Travers |
E189725
|
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 Travers | Statement: [Random Harvest, starring, Henry Travers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Travers Context triple: [Random Harvest, starring, Henry Travers]
-
A.
Henry Travers
chosen
Henry Travers was a British-born character actor best known for his portrayal of the guardian angel Clarence Odbody in the classic film "It's a Wonderful Life."
-
B.
Harry Davenport
Harry Davenport was an American character actor best known for his numerous supporting roles in classic Hollywood films of the 1930s and 1940s.
-
C.
Raymond Massey
Raymond Massey was a Canadian-American actor known for his commanding screen presence and memorable roles in classic films and stage productions.
-
D.
Henry Bergner
Henry Bergner is the central protagonist of the film "Between Two Worlds," whose experiences and choices drive the story’s emotional and narrative arc.
-
E.
John Dehner
John Dehner was an American character actor known for his prolific work in Western films and television series during the mid-20th century.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e903b8ec81909f9c89776d35c650 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b795f7948190a0dd53e8e034fe58 |
completed | April 20, 2026, 5:20 a.m. |
Created at: April 8, 2026, 9:30 p.m.