Triple
T8994204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa-Gavras |
E214860
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object |
Betrayed
Betrayed is a 1988 political thriller film exploring themes of racism, extremism, and undercover investigation in rural America.
|
E771722
|
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: Betrayed | Statement: [Costa-Gavras, directed, Betrayed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betrayed Context triple: [Costa-Gavras, directed, Betrayed]
-
A.
Betrayed
"Betrayed" is a comic solo number from the Broadway musical The Producers in which the character Max Bialystock frantically recounts the plot and his sense of treachery.
-
B.
Betrayed
"Betrayed" is a song by the metal band Born of You, likely featuring their characteristic heavy instrumentation and emotionally intense themes.
-
C.
Betrayal
Betrayal is a 1978 play by Harold Pinter that explores infidelity and memory through a reverse-chronological narrative of a love affair.
-
D.
Betray Her
Betray Her is a psychological thriller novel by British author Caroline England, exploring dark secrets and toxic friendship.
-
E.
Treachery
Treachery is a 2013 independent drama thriller film exploring betrayal and strained family relationships, directed by Michael Biehn.
- 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: Betrayed Triple: [Costa-Gavras, directed, Betrayed]
Generated description
Betrayed is a 1988 political thriller film exploring themes of racism, extremism, and undercover investigation in rural America.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betrayed Target entity description: Betrayed is a 1988 political thriller film exploring themes of racism, extremism, and undercover investigation in rural America.
-
A.
Betrayed
"Betrayed" is a comic solo number from the Broadway musical The Producers in which the character Max Bialystock frantically recounts the plot and his sense of treachery.
-
B.
Betrayed
"Betrayed" is a song by the metal band Born of You, likely featuring their characteristic heavy instrumentation and emotionally intense themes.
-
C.
Betrayal
Betrayal is a 1978 play by Harold Pinter that explores infidelity and memory through a reverse-chronological narrative of a love affair.
-
D.
Betray Her
Betray Her is a psychological thriller novel by British author Caroline England, exploring dark secrets and toxic friendship.
-
E.
Treachery
Treachery is a 2013 independent drama thriller film exploring betrayal and strained family relationships, directed by Michael Biehn.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc687798a881908e6fdd9a39219f1d |
completed | April 1, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0cd2b948190947a26fe11ad81bf |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd27680408190a5ebcebacf9e4303 |
completed | April 3, 2026, 2:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd2dbf3cc81909589bd9467239573 |
completed | April 3, 2026, 2:46 p.m. |
Created at: March 30, 2026, 7:04 p.m.