Triple
T17209736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Campos |
E417692
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object |
Christine
"Christine" is a 2016 biographical drama film about troubled news reporter Christine Chubbuck, exploring her mental health struggles and professional pressures leading up to her on-air suicide.
|
E375963
|
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: Christine | Statement: [Antonio Campos, directed, Christine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christine Context triple: [Antonio Campos, directed, Christine]
-
A.
Christine
Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
-
B.
Christine
Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
-
C.
Christine
Christine is a central character in the 1973 mystery film "The Last of Sheila," around whom key elements of the movie’s intricate whodunit plot revolve.
-
D.
Christine
Christine is the given first name of American singer, songwriter, and actress Christina Milian.
-
E.
Christine
Christine is a 1983 horror film directed by John Carpenter about a possessed, malevolent 1958 Plymouth Fury.
- 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: Christine Triple: [Antonio Campos, directed, Christine]
Generated description
"Christine" is a 2016 biographical drama film about troubled news reporter Christine Chubbuck, exploring her mental health struggles and professional pressures leading up to her on-air suicide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christine Target entity description: "Christine" is a 2016 biographical drama film about troubled news reporter Christine Chubbuck, exploring her mental health struggles and professional pressures leading up to her on-air suicide.
-
A.
Christine
chosen
"Christine" is a 2016 biographical drama film starring Rebecca Hall as troubled 1970s news reporter Christine Chubbuck.
-
B.
Christine
Christine is a character featured in the Netflix anthology crime series "Kaleidoscope."
-
C.
Christine
Christine is a fictional character from the 1951 British drama film "Journey into Light."
-
D.
Christine
Christine is a fictional character played by Canadian actress Deborah Kara Unger, best known from her roles in psychological thrillers and horror films.
-
E.
Christine
Christine is a central character in the 1973 mystery film "The Last of Sheila," around whom key elements of the movie’s intricate whodunit plot revolve.
- F. None of above.
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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc4792081909443df7937768ede |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674df2cc8190be602b15d49d38d0 |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a016c03dab88190926c36f2e6b55861 |
completed | May 11, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016cba568481908920fe42cae5f153 |
completed | May 11, 2026, 5:44 a.m. |
Created at: April 10, 2026, 5:38 a.m.