Triple
T6815589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Untamed Lady |
E156743
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Huntley Gordon |
E473590
|
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: Huntley Gordon | Statement: [The Untamed Lady, starring, Huntley Gordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huntley Gordon Context triple: [The Untamed Lady, starring, Huntley Gordon]
-
A.
Huntley Gordon
chosen
Huntley Gordon was a Canadian-born American actor known for his prolific work in silent and early sound films during the early 20th century.
-
B.
Fred Huntley
Fred Huntley was a British-born silent film actor and director active in early American cinema during the 1910s and 1920s.
-
C.
Gene Milford
Gene Milford was an American film editor known for his work on numerous classic Hollywood films across several decades.
-
D.
Lloyd Goodrich
Lloyd Goodrich was an influential American art historian, curator, and longtime director of the Whitney Museum of American Art, known for championing American artists.
-
E.
Gordon Heath
Gordon Heath was an American actor, singer, and director known for his work on stage and in film, as well as for his influential career in Europe, particularly in France.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d32dc19c8190a871cc1ff1471a58 |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ed5afb081909838f01bde45268d |
completed | March 28, 2026, 9:57 p.m. |
Created at: March 27, 2026, 2:17 p.m.