Triple
T11394335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady in the Dark (1944 film) |
E269927
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Jon Hall
Jon Hall was an American film actor best known for his leading-man roles in 1940s adventure and fantasy movies.
|
E926964
|
NE FINISHED |
How this triple was built (4 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: Jon Hall | Statement: [Lady in the Dark (1944 film), starring, Jon Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Hall Context triple: [Lady in the Dark (1944 film), starring, Jon Hall]
-
A.
Ian Hill
Ian Hill is an English bassist best known as a founding member of the heavy metal band Judas Priest.
-
B.
Jerry Horton
Jerry Horton is an American guitarist best known as the lead guitarist and a founding member of the rock band Papa Roach.
-
C.
Grant Wistrom
Grant Wistrom is a former American football defensive end best known for his standout college career at the University of Nebraska and his Super Bowl–winning tenure in the NFL with the St. Louis Rams.
-
D.
Ian Hallard
Ian Hallard is a British actor and writer known for his work in television, theatre, and radio, as well as for his collaborations with his husband, writer-actor Mark Gatiss.
-
E.
Glen Tullman
Glen Tullman is an American healthcare technology entrepreneur and executive best known for leading and building major digital health companies, including Allscripts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jon Hall Triple: [Lady in the Dark (1944 film), starring, Jon Hall]
Generated description
Jon Hall was an American film actor best known for his leading-man roles in 1940s adventure and fantasy movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jon Hall Target entity description: Jon Hall was an American film actor best known for his leading-man roles in 1940s adventure and fantasy movies.
-
A.
Ian Hill
Ian Hill is an English bassist best known as a founding member of the heavy metal band Judas Priest.
-
B.
Jerry Horton
Jerry Horton is an American guitarist best known as the lead guitarist and a founding member of the rock band Papa Roach.
-
C.
Grant Wistrom
Grant Wistrom is a former American football defensive end best known for his standout college career at the University of Nebraska and his Super Bowl–winning tenure in the NFL with the St. Louis Rams.
-
D.
Ian Hallard
Ian Hallard is a British actor and writer known for his work in television, theatre, and radio, as well as for his collaborations with his husband, writer-actor Mark Gatiss.
-
E.
Glen Tullman
Glen Tullman is an American healthcare technology entrepreneur and executive best known for leading and building major digital health companies, including Allscripts.
- F. None of above. chosen
Provenance (5 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80018a58c81908b80dc9abd18d650 |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8cc338081908da977b5b7c6bef3 |
completed | April 20, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e5f1557e9c8190b53ce391793b2c7f |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f863bf7c81908969ed0a5b99f032 |
completed | April 20, 2026, 9:56 a.m. |
Created at: April 8, 2026, 9:34 p.m.