Triple
T17880561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Lear (Broadway production, 2019) |
E447071
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Sam Gold
Sam Gold is a Tony Award–winning American theater director known for his innovative and often minimalist stagings of classic and contemporary plays on Broadway and off-Broadway.
|
E1294750
|
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: Sam Gold | Statement: [King Lear (Broadway production, 2019), director, Sam Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Gold Context triple: [King Lear (Broadway production, 2019), director, Sam Gold]
-
A.
Jeremy Gold
Jeremy Gold is a television producer and executive known for his work on the AMC Western drama series "Hell on Wheels."
-
B.
Rob Goldie
Rob Goldie is a cinematographer known for his work on the 2014 film "Son of God."
-
C.
Jack Gold
Jack Gold was a British film and television director known for his socially conscious dramas and acclaimed adaptations, including the landmark TV film "The Naked Civil Servant."
-
D.
Bo Goldmann
Bo Goldmann is a screenwriter best known for his work on the comedy film "Armed and Dangerous."
-
E.
Ben Gold
Ben Gold is a British trance music producer and DJ known for his high-energy tracks and releases on major electronic dance music labels.
- 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: Sam Gold Triple: [King Lear (Broadway production, 2019), director, Sam Gold]
Generated description
Sam Gold is a Tony Award–winning American theater director known for his innovative and often minimalist stagings of classic and contemporary plays on Broadway and off-Broadway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Gold Target entity description: Sam Gold is a Tony Award–winning American theater director known for his innovative and often minimalist stagings of classic and contemporary plays on Broadway and off-Broadway.
-
A.
Jeremy Gold
Jeremy Gold is a television producer and executive known for his work on the AMC Western drama series "Hell on Wheels."
-
B.
Rob Goldie
Rob Goldie is a cinematographer known for his work on the 2014 film "Son of God."
-
C.
Jack Gold
Jack Gold was a British film and television director known for his socially conscious dramas and acclaimed adaptations, including the landmark TV film "The Naked Civil Servant."
-
D.
Bo Goldmann
Bo Goldmann is a screenwriter best known for his work on the comedy film "Armed and Dangerous."
-
E.
Ben Gold
Ben Gold is a British trance music producer and DJ known for his high-energy tracks and releases on major electronic dance music labels.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0e56bc819097649377b520de63 |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b1f2fec81909b3cf0392275a2ff |
completed | May 12, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a031c245ee08190851b20d547a7946c |
completed | May 12, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031c89d46881908cf88e5396e1d08e |
completed | May 12, 2026, 12:26 p.m. |
Created at: April 10, 2026, 10:18 a.m.