Triple
T7769266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Segal |
E179027
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Blume in Love
Blume in Love is a 1973 romantic comedy-drama film directed by Paul Mazursky, known for its introspective look at relationships and starring George Segal as a conflicted divorce lawyer.
|
E687548
|
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: Blume in Love | Statement: [George Segal, notableWork, Blume in Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blume in Love Context triple: [George Segal, notableWork, Blume in Love]
-
A.
Blume
Blume is the family name of acclaimed English actress Claire Bloom, known for her work in film, television, and theatre.
-
B.
Bliss
Bliss is a pivotal telepathic character in Isaac Asimov’s science fiction novel "Foundation and Earth," embodying a collective planetary consciousness.
-
C.
Bliss
Bliss is a 2000 studio album by French singer Vanessa Paradis that blends pop, folk, and chanson influences.
-
D.
Bliss
"Bliss" is a song featured on Taylor Swift’s album *Lover*, known for its upbeat pop sound and emotionally charged lyrics.
-
E.
Bliss
"Bliss" is a track from Mariah Carey's 1999 album "Rainbow," known for its sensual lyrics and layered vocal arrangements.
- 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: Blume in Love Triple: [George Segal, notableWork, Blume in Love]
Generated description
Blume in Love is a 1973 romantic comedy-drama film directed by Paul Mazursky, known for its introspective look at relationships and starring George Segal as a conflicted divorce lawyer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blume in Love Target entity description: Blume in Love is a 1973 romantic comedy-drama film directed by Paul Mazursky, known for its introspective look at relationships and starring George Segal as a conflicted divorce lawyer.
-
A.
Blume
Blume is the family name of acclaimed English actress Claire Bloom, known for her work in film, television, and theatre.
-
B.
Bliss
Bliss is a pivotal telepathic character in Isaac Asimov’s science fiction novel "Foundation and Earth," embodying a collective planetary consciousness.
-
C.
Bliss
Bliss is a 2000 studio album by French singer Vanessa Paradis that blends pop, folk, and chanson influences.
-
D.
Bliss
"Bliss" is a song featured on Taylor Swift’s album *Lover*, known for its upbeat pop sound and emotionally charged lyrics.
-
E.
Bliss
"Bliss" is a track from Mariah Carey's 1999 album "Rainbow," known for its sensual lyrics and layered vocal arrangements.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c704376dc08190890f5ebb9f259cfd |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e7818c8190920ea2bde6343968 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8698a388190a47d6636fe5d2bb4 |
completed | March 29, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8f3873481908ef6efb2e39272db |
completed | March 29, 2026, 6:38 a.m. |
Created at: March 27, 2026, 4:11 p.m.