Triple
T5235030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeannot Szwarc |
E118200
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object |
Enigma
Enigma is a 1982 Cold War spy thriller film involving codebreaking and espionage, directed by Jeannot Szwarc.
|
E505382
|
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: Enigma | Statement: [Jeannot Szwarc, directed, Enigma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enigma Context triple: [Jeannot Szwarc, directed, Enigma]
-
A.
Enigma
Enigma is a science fiction novel by Michael Kube-McDowell that explores complex themes of human identity, communication, and first contact.
-
B.
Enigma
Enigma is a stage play by Tom Stoppard that characteristically blends intellectual intrigue, wordplay, and complex human relationships.
-
C.
The Black Box
The Black Box is a crime novel by Michael Connelly featuring LAPD detective Harry Bosch as he reopens a decades-old murder case first encountered during the 1992 Los Angeles riots.
-
D.
Committee Room 13
Committee Room 13 is a meeting chamber within the UK House of Commons used for parliamentary committee sessions and related legislative business.
-
E.
ECHELON
ECHELON is a highly secretive global signals intelligence and surveillance system believed to intercept and analyze vast amounts of communications data for the United States and its allies.
- 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: Enigma Triple: [Jeannot Szwarc, directed, Enigma]
Generated description
Enigma is a 1982 Cold War spy thriller film involving codebreaking and espionage, directed by Jeannot Szwarc.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enigma Target entity description: Enigma is a 1982 Cold War spy thriller film involving codebreaking and espionage, directed by Jeannot Szwarc.
-
A.
Enigma
Enigma is a stage play by Tom Stoppard that characteristically blends intellectual intrigue, wordplay, and complex human relationships.
-
B.
Enigma
Enigma is a science fiction novel by Michael Kube-McDowell that explores complex themes of human identity, communication, and first contact.
-
C.
The Black Box
The Black Box is a crime novel by Michael Connelly featuring LAPD detective Harry Bosch as he reopens a decades-old murder case first encountered during the 1992 Los Angeles riots.
-
D.
Committee Room 13
Committee Room 13 is a meeting chamber within the UK House of Commons used for parliamentary committee sessions and related legislative business.
-
E.
ECHELON
ECHELON is a highly secretive global signals intelligence and surveillance system believed to intercept and analyze vast amounts of communications data for the United States and its allies.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b064b6881909f5746f55aa422c6 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef81cca948190ab00302787367f43 |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69befa15850481908fd414672620e0a3 |
completed | March 21, 2026, 8:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69befa65a42c81908b8fe5661e9567cb |
completed | March 21, 2026, 8:07 p.m. |
Created at: March 20, 2026, 1:49 p.m.