Triple
T13797330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears of the Sun |
E331550
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Alex Lasker
Alex Lasker is a screenwriter best known for co-writing the military action film "Tears of the Sun."
|
E1061793
|
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: Alex Lasker | Statement: [Tears of the Sun, screenwriter, Alex Lasker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Lasker Context triple: [Tears of the Sun, screenwriter, Alex Lasker]
-
A.
Jeremy Lasky
Jeremy Lasky is an American cinematographer best known for his work at Pixar Animation Studios on films such as Cars and other major animated features.
-
B.
David Lascher
David Lascher is an American actor best known for his roles in 1990s television series such as "Blossom," "Hey Dude," and "Sabrina the Teenage Witch."
-
C.
Eric Ladin
Eric Ladin is an American actor known for his roles in television series such as "Generation Kill," "The Killing," and "Boardwalk Empire."
-
D.
Josh Astrachan
Josh Astrachan is a film producer best known for his work on acclaimed independent and prestige films, including the ensemble mystery drama "Gosford Park."
-
E.
Lyle Kessler
Lyle Kessler is an American playwright, screenwriter, and actor best known for his play "Orphans" and his work in film and television.
- 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: Alex Lasker Triple: [Tears of the Sun, screenwriter, Alex Lasker]
Generated description
Alex Lasker is a screenwriter best known for co-writing the military action film "Tears of the Sun."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alex Lasker Target entity description: Alex Lasker is a screenwriter best known for co-writing the military action film "Tears of the Sun."
-
A.
Jeremy Lasky
Jeremy Lasky is an American cinematographer best known for his work at Pixar Animation Studios on films such as Cars and other major animated features.
-
B.
David Lascher
David Lascher is an American actor best known for his roles in 1990s television series such as "Blossom," "Hey Dude," and "Sabrina the Teenage Witch."
-
C.
Eric Ladin
Eric Ladin is an American actor known for his roles in television series such as "Generation Kill," "The Killing," and "Boardwalk Empire."
-
D.
Josh Astrachan
Josh Astrachan is a film producer best known for his work on acclaimed independent and prestige films, including the ensemble mystery drama "Gosford Park."
-
E.
Lyle Kessler
Lyle Kessler is an American playwright, screenwriter, and actor best known for his play "Orphans" and his work in film and television.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b086d6d48190b823ed0a4403fbc5 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b138158c8190957d43d529c37fa4 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b1e0ab948190a046a68aa5e029a6 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:11 p.m.