Triple
T2657954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Revenant |
E54659
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Mark L. Smith
Mark L. Smith is an American screenwriter best known for his work on intense genre films, including co-writing the Oscar-winning survival drama "The Revenant."
|
E338505
|
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: Mark L. Smith | Statement: [The Revenant, screenwriter, Mark L. Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark L. Smith Context triple: [The Revenant, screenwriter, Mark L. Smith]
-
A.
Michael G. Smith
Michael G. Smith is an American Episcopal bishop who has served as the diocesan leader of the Episcopal Diocese of Albany.
-
B.
Nicholas C. Smith
Nicholas C. Smith is a cinematographer best known for his work on the animated film "Brave."
-
C.
Adrian D. Smith
Adrian D. Smith is an American architect renowned for designing some of the world’s tallest and most iconic skyscrapers.
-
D.
Steven L. Smith
Steven L. Smith is a former NASA astronaut and engineer best known for his multiple space shuttle missions, including servicing flights to the Hubble Space Telescope.
-
E.
Richard W. Smith
Richard W. Smith is a member of the Smith family best known as a son of FedEx founder Frederick W. Smith.
- 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: Mark L. Smith Triple: [The Revenant, screenwriter, Mark L. Smith]
Generated description
Mark L. Smith is an American screenwriter best known for his work on intense genre films, including co-writing the Oscar-winning survival drama "The Revenant."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark L. Smith Target entity description: Mark L. Smith is an American screenwriter best known for his work on intense genre films, including co-writing the Oscar-winning survival drama "The Revenant."
-
A.
Michael G. Smith
Michael G. Smith is an American Episcopal bishop who has served as the diocesan leader of the Episcopal Diocese of Albany.
-
B.
Nicholas C. Smith
Nicholas C. Smith is a cinematographer best known for his work on the animated film "Brave."
-
C.
Adrian D. Smith
Adrian D. Smith is an American architect renowned for designing some of the world’s tallest and most iconic skyscrapers.
-
D.
Steven L. Smith
Steven L. Smith is a former NASA astronaut and engineer best known for his multiple space shuttle missions, including servicing flights to the Hubble Space Telescope.
-
E.
Richard W. Smith
Richard W. Smith is a member of the Smith family best known as a son of FedEx founder Frederick W. Smith.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94c61a08190bdf5e1caeff3e788 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b261c141f88190aaf340c92499b88b |
completed | March 12, 2026, 6:48 a.m. |
| NEDg | Description generation | batch_69b264c2b3e88190bdfb33f12c318c70 |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2689419808190adb9b69bf3185daf |
completed | March 12, 2026, 7:17 a.m. |
Created at: March 6, 2026, 9:53 p.m.