Triple
T21944281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inferno (2016 film) |
E541895
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Harry Sims
Harry Sims is a supporting character in the 2016 mystery thriller film "Inferno," which is based on Dan Brown's novel and follows symbologist Robert Langdon as he races to stop a global catastrophe.
|
E1509409
|
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: Harry Sims | Statement: [Inferno (2016 film), character, Harry Sims]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Sims Context triple: [Inferno (2016 film), character, Harry Sims]
-
A.
Ed Sims
Ed Sims is a business executive best known for serving as the president and CEO of WestJet Airlines.
-
B.
Dick Sims
Dick Sims was an American keyboardist best known for his work with Eric Clapton in the 1970s, contributing to several of Clapton’s classic recordings and tours.
-
C.
Lyndon Sims
Lyndon Sims is an individual notable primarily for bearing the given name "Lyndon."
-
D.
Howard Sims
Howard Sims was an influential American tap dancer renowned for his virtuosic rhythm tap style and his long association with New York’s Apollo Theater.
-
E.
Jeremy Simmons
Jeremy Simmons is a film editor known for his work on the cult club-scene drama "Party Monster."
- 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: Harry Sims Triple: [Inferno (2016 film), character, Harry Sims]
Generated description
Harry Sims is a supporting character in the 2016 mystery thriller film "Inferno," which is based on Dan Brown's novel and follows symbologist Robert Langdon as he races to stop a global catastrophe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Sims Target entity description: Harry Sims is a supporting character in the 2016 mystery thriller film "Inferno," which is based on Dan Brown's novel and follows symbologist Robert Langdon as he races to stop a global catastrophe.
-
A.
Ed Sims
Ed Sims is a business executive best known for serving as the president and CEO of WestJet Airlines.
-
B.
Dick Sims
Dick Sims was an American keyboardist best known for his work with Eric Clapton in the 1970s, contributing to several of Clapton’s classic recordings and tours.
-
C.
Lyndon Sims
Lyndon Sims is an individual notable primarily for bearing the given name "Lyndon."
-
D.
Howard Sims
Howard Sims was an influential American tap dancer renowned for his virtuosic rhythm tap style and his long association with New York’s Apollo Theater.
-
E.
Jeremy Simmons
Jeremy Simmons is a film editor known for his work on the cult club-scene drama "Party Monster."
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60f1f49c81909f6c17dad3bd0219 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a6200fb1c81909a4ab05fd368dafc |
completed | May 18, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a626731d8819097b209ae1375ae25 |
completed | May 18, 2026, 12:50 a.m. |
Created at: April 16, 2026, 7:56 p.m.