Triple
T11329969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strange Days |
E268314
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Howard E. Smith
Howard E. Smith was a film editor best known for his work on notable movies such as "Strange Days."
|
E921215
|
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: Howard E. Smith | Statement: [Strange Days, editedBy, Howard E. Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard E. Smith Context triple: [Strange Days, editedBy, Howard E. Smith]
-
A.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on the acclaimed drama "Glengarry Glen Ross."
-
B.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on the thriller "Snakes on a Plane."
-
C.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the shark thriller "Deep Blue Sea."
-
D.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the action thriller "Point Break."
-
E.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on genre films such as the cult vampire movie "Near Dark."
- 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: Howard E. Smith Triple: [Strange Days, editedBy, Howard E. Smith]
Generated description
Howard E. Smith was a film editor best known for his work on notable movies such as "Strange Days."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Howard E. Smith Target entity description: Howard E. Smith was a film editor best known for his work on notable movies such as "Strange Days."
-
A.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on the acclaimed drama "Glengarry Glen Ross."
-
B.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on the thriller "Snakes on a Plane."
-
C.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the shark thriller "Deep Blue Sea."
-
D.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the action thriller "Point Break."
-
E.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on genre films such as the cult vampire movie "Near Dark."
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e330008190b75490efde01dc59 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5564218bc8190bbaf9aceb69fdc26 |
completed | April 19, 2026, 10:25 p.m. |
| NEDg | Description generation | batch_69e562bb085c8190942766d12d838798 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e569f0e6948190b285ca84aca03771 |
completed | April 19, 2026, 11:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.