Triple
T20140598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog Days (2018 film) |
E491152
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Dog Days
Dog Days is a 2018 ensemble romantic comedy film that follows interconnected Los Angeles residents whose lives are brought together through their relationships with their dogs.
|
E1413581
|
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: Dog Days | Statement: [Dog Days (2018 film), title, Dog Days]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dog Days Context triple: [Dog Days (2018 film), title, Dog Days]
-
A.
Dog Days
Dog Days is a 1975 Southern rock studio album by the Atlanta Rhythm Section, noted for its smooth blend of rock, pop, and country influences.
-
B.
Dog Days
Dog Days is the fourth book in Jeff Kinney’s humorous Diary of a Wimpy Kid series, following Greg Heffley’s misadventures over a summer vacation.
-
C.
Dog Days
Dog Days is a contemporary opera by composer David T. Little and librettist Royce Vavrek that portrays a family’s struggle to survive in a near-apocalyptic America.
-
D.
Sunny Days
"Sunny Days" is a song by the musical group Arm in Arm.
-
E.
Day of Days
"Day of Days" is the second episode of the World War II miniseries *Band of Brothers*, depicting Easy Company's harrowing D-Day parachute drop into Normandy.
- 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: Dog Days Triple: [Dog Days (2018 film), title, Dog Days]
Generated description
Dog Days is a 2018 ensemble romantic comedy film that follows interconnected Los Angeles residents whose lives are brought together through their relationships with their dogs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dog Days Target entity description: Dog Days is a 2018 ensemble romantic comedy film that follows interconnected Los Angeles residents whose lives are brought together through their relationships with their dogs.
-
A.
Dog Days
Dog Days is a contemporary opera by composer David T. Little and librettist Royce Vavrek that portrays a family’s struggle to survive in a near-apocalyptic America.
-
B.
Dog Days
Dog Days is a 1975 Southern rock studio album by the Atlanta Rhythm Section, noted for its smooth blend of rock, pop, and country influences.
-
C.
Dog Days
Dog Days is the fourth book in Jeff Kinney’s humorous Diary of a Wimpy Kid series, following Greg Heffley’s misadventures over a summer vacation.
-
D.
Sunny Days
"Sunny Days" is a song by the musical group Arm in Arm.
-
E.
Day of Days
"Day of Days" is the second episode of the World War II miniseries *Band of Brothers*, depicting Easy Company's harrowing D-Day parachute drop into Normandy.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66798d59c81908ebcd6644b1b3744 |
completed | April 20, 2026, 5:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082de69fc08190bfef348685007aad |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082fa951a88190b5c3cac2280d43b7 |
completed | May 16, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08305a986481909e78c28b1c919c9f |
completed | May 16, 2026, 8:52 a.m. |
Created at: April 11, 2026, 11:32 p.m.