Triple
T15689310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Langmann |
E380282
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object |
The Terrorizers
The Terrorizers is a film featuring French actor and producer Thomas Langmann in its cast.
|
E1171591
|
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: The Terrorizers | Statement: [Thomas Langmann, actedIn, The Terrorizers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Terrorizers Context triple: [Thomas Langmann, actedIn, The Terrorizers]
-
A.
The Terrorizers
The Terrorizers is a spy novel by Donald Hamilton featuring his hard-edged government assassin Matt Helm in a Cold War-era mission.
-
B.
The Menacers
The Menacers is a spy novel in Donald Hamilton’s Matt Helm series, featuring the hard-edged American agent on a dangerous Cold War mission.
-
C.
The Boogiemen
The Boogiemen are a hip hop production team known for their work on Ice Cube’s influential 1991 album "Death Certificate."
-
D.
The Crazed
"The Crazed" is a novel by Chinese-American author Ha Jin that explores the psychological and political turmoil of post-Cultural Revolution China through a graduate student's relationship with his ailing mentor.
-
E.
Murder City
Murder City is a British television crime drama series featuring Tom Wisdom in a prominent role.
- 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: The Terrorizers Triple: [Thomas Langmann, actedIn, The Terrorizers]
Generated description
The Terrorizers is a film featuring French actor and producer Thomas Langmann in its cast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Terrorizers Target entity description: The Terrorizers is a film featuring French actor and producer Thomas Langmann in its cast.
-
A.
The Terrorizers
The Terrorizers is a spy novel by Donald Hamilton featuring his hard-edged government assassin Matt Helm in a Cold War-era mission.
-
B.
The Menacers
The Menacers is a spy novel in Donald Hamilton’s Matt Helm series, featuring the hard-edged American agent on a dangerous Cold War mission.
-
C.
The Boogiemen
The Boogiemen are a hip hop production team known for their work on Ice Cube’s influential 1991 album "Death Certificate."
-
D.
The Crazed
"The Crazed" is a novel by Chinese-American author Ha Jin that explores the psychological and political turmoil of post-Cultural Revolution China through a graduate student's relationship with his ailing mentor.
-
E.
Murder City
Murder City is a British television crime drama series featuring Tom Wisdom in a prominent role.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4e59988190aaf12f6a07c8f0e4 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee91340819086c8f51e8eb477aa |
completed | May 9, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69ff6fd9c968819098b2552a9deb0445 |
completed | May 9, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff708d42448190a53b90e00721eaa5 |
completed | May 9, 2026, 5:36 p.m. |
Created at: April 10, 2026, 4:44 a.m.