Triple
T15927018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swan Song (2021 film) |
E386228
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Know Wonder
Know Wonder is a film production company recognized for its work on the 2021 movie "Swan Song."
|
E1184831
|
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: Know Wonder | Statement: [Swan Song (2021 film), productionCompany, Know Wonder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Know Wonder Context triple: [Swan Song (2021 film), productionCompany, Know Wonder]
-
A.
Any Wonder
"Any Wonder" is a song by American singer-songwriter Jack Johnson from his 2022 album *Meet the Moonlight*.
-
B.
Knowledge and Wonder
Knowledge and Wonder is a popular science book by physicist Victor F. Weisskopf that explores the beauty, meaning, and human significance of modern scientific discoveries.
-
C.
Wisen
Wisen is a small municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region near the border with the canton of Basel-Landschaft.
-
D.
Wonder
Wonder is a 2017 drama film about a boy with a facial difference navigating school and family life, based on R.J. Palacio’s novel of the same name.
-
E.
Wonder
"Wonder" is a pop studio album by Canadian singer-songwriter Shawn Mendes that showcases his introspective lyrics and expansive, atmospheric production.
- 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: Know Wonder Triple: [Swan Song (2021 film), productionCompany, Know Wonder]
Generated description
Know Wonder is a film production company recognized for its work on the 2021 movie "Swan Song."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Know Wonder Target entity description: Know Wonder is a film production company recognized for its work on the 2021 movie "Swan Song."
-
A.
Any Wonder
"Any Wonder" is a song by American singer-songwriter Jack Johnson from his 2022 album *Meet the Moonlight*.
-
B.
Knowledge and Wonder
Knowledge and Wonder is a popular science book by physicist Victor F. Weisskopf that explores the beauty, meaning, and human significance of modern scientific discoveries.
-
C.
Wisen
Wisen is a small municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region near the border with the canton of Basel-Landschaft.
-
D.
Wonder
Wonder is a 2017 drama film about a boy with a facial difference navigating school and family life, based on R.J. Palacio’s novel of the same name.
-
E.
Wonder
"Wonder" is a pop studio album by Canadian singer-songwriter Shawn Mendes that showcases his introspective lyrics and expansive, atmospheric 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156866de48190a744e8dcaa0c66f1 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b0833081909668c042234b5b75 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb6a526188190be80658fb23cacbd |
completed | May 9, 2026, 10:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb71cea948190a1c5998654aee8d5 |
completed | May 9, 2026, 10:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.