Triple
T20397827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lost Missile |
E500254
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Larry Kerr
Larry Kerr is an actor known for his role in the 1958 science fiction film "The Lost Missile."
|
E1427666
|
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: Larry Kerr | Statement: [The Lost Missile, hasCastMember, Larry Kerr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Kerr Context triple: [The Lost Missile, hasCastMember, Larry Kerr]
-
A.
Ken Kerr
Ken Kerr is a gold dredge captain and miner known for appearing on the reality television series "Bering Sea Gold."
-
B.
Kirk Morrison
Kirk Morrison is a former American football linebacker who played in the NFL, most notably for the Oakland Raiders.
-
C.
Mark Kerr
Mark Kerr is a retired American mixed martial artist and former collegiate wrestling champion who gained prominence in the late 1990s through his dominant performances in organizations like the UFC and PRIDE.
-
D.
James Kearns
James Kearns is an American screenwriter best known for writing the 2002 crime thriller film "John Q."
-
E.
Larry Kennar
Larry Kennar is a television producer best known for his executive production work on the groundbreaking LGBTQ+ drama series "The L Word."
- 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: Larry Kerr Triple: [The Lost Missile, hasCastMember, Larry Kerr]
Generated description
Larry Kerr is an actor known for his role in the 1958 science fiction film "The Lost Missile."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larry Kerr Target entity description: Larry Kerr is an actor known for his role in the 1958 science fiction film "The Lost Missile."
-
A.
Ken Kerr
Ken Kerr is a gold dredge captain and miner known for appearing on the reality television series "Bering Sea Gold."
-
B.
Kirk Morrison
Kirk Morrison is a former American football linebacker who played in the NFL, most notably for the Oakland Raiders.
-
C.
Mark Kerr
Mark Kerr is a retired American mixed martial artist and former collegiate wrestling champion who gained prominence in the late 1990s through his dominant performances in organizations like the UFC and PRIDE.
-
D.
James Kearns
James Kearns is an American screenwriter best known for writing the 2002 crime thriller film "John Q."
-
E.
Larry Kennar
Larry Kennar is a television producer best known for his executive production work on the groundbreaking LGBTQ+ drama series "The L Word."
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798c2b28819092fab93f01218cde |
completed | April 20, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087629f618819086c4747990ceb22f |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0876cc45b88190a7179ca4d518f899 |
completed | May 16, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0877355bc08190909694d1bb0c3e67 |
completed | May 16, 2026, 1:55 p.m. |
Created at: April 16, 2026, 11:29 a.m.