Triple
T16388895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridgette Wilson |
E397995
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Love Stinks
Love Stinks is a 1999 romantic comedy film about a sitcom writer whose relationship with his girlfriend spirals into a bitter and comedic battle after he tries to break up with her.
|
E1209898
|
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: Love Stinks | Statement: [Bridgette Wilson, notableWork, Love Stinks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Stinks Context triple: [Bridgette Wilson, notableWork, Love Stinks]
-
A.
Love Pains
"Love Pains" is a song, likely a pop or dance track, known for its themes of romantic heartache and emotional struggle.
-
B.
Bad Lovers
"Bad Lovers" is a country song featured on Luke Bryan's 2017 studio album "What Makes You Country."
-
C.
Mad Love
"Mad Love" is a 1935 psychological horror film starring Peter Lorre (credited as László Löwenstein), known for its macabre tale of obsession and surgical mutilation.
-
D.
Mad Love
"Mad Love" is a popular dancehall-pop song by Jamaican artist Sean Paul, known for its catchy hook and club-friendly production.
-
E.
Mad Love
Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
- 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: Love Stinks Triple: [Bridgette Wilson, notableWork, Love Stinks]
Generated description
Love Stinks is a 1999 romantic comedy film about a sitcom writer whose relationship with his girlfriend spirals into a bitter and comedic battle after he tries to break up with her.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love Stinks Target entity description: Love Stinks is a 1999 romantic comedy film about a sitcom writer whose relationship with his girlfriend spirals into a bitter and comedic battle after he tries to break up with her.
-
A.
Love Pains
"Love Pains" is a song, likely a pop or dance track, known for its themes of romantic heartache and emotional struggle.
-
B.
Bad Lovers
"Bad Lovers" is a country song featured on Luke Bryan's 2017 studio album "What Makes You Country."
-
C.
Mad Love
Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
-
D.
Mad Love
"Mad Love" is a 1935 psychological horror film starring Peter Lorre (credited as László Löwenstein), known for its macabre tale of obsession and surgical mutilation.
-
E.
Mad Love
"Mad Love" is a popular dancehall-pop song by Jamaican artist Sean Paul, known for its catchy hook and club-friendly production.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263f18988190800b921381d60c1b |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00357167b881909a5182537ef973ce |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a003659af2481908ccf0cc65b673b8f |
completed | May 10, 2026, 7:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0037957d7c81908b517ebea0b70a5b |
completed | May 10, 2026, 7:45 a.m. |
Created at: April 10, 2026, 5:08 a.m.