Triple
T5234306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solo |
E118185
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Solo
Solo is a 2018 Star Wars anthology film that explores the early adventures and origins of the iconic smuggler Han Solo.
|
E399399
|
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: Solo | Statement: [Solo, shortName, Solo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solo Context triple: [Solo, shortName, Solo]
-
A.
Solo
Solo is a city in Central Java, Indonesia, renowned as a major center of traditional Javanese culture and batik craftsmanship.
-
B.
Solo
"Solo" is a Cold War-era thriller novel by Jack Higgins that follows a notorious professional assassin whose latest mission spirals into a deadly international conspiracy.
-
C.
Solo
Solo is a 2018 Star Wars anthology film that explores the early adventures and origins of the iconic smuggler Han Solo.
-
D.
The Lonely
"The Lonely" is a 1959 episode of the anthology series The Twilight Zone about a convicted man exiled to a remote asteroid who develops a profound emotional bond with a female robot companion.
-
E.
Lonely
"Lonely" is a 2005 R&B/hip-hop ballad by Akon, known for its distinctive high-pitched sample and themes of heartbreak and regret.
- 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: Solo Triple: [Solo, shortName, Solo]
Generated description
Solo is a 2018 Star Wars anthology film that explores the early adventures and origins of the iconic smuggler Han Solo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Solo Target entity description: Solo is a 2018 Star Wars anthology film that explores the early adventures and origins of the iconic smuggler Han Solo.
-
A.
Solo
Solo is a city in Central Java, Indonesia, renowned as a major center of traditional Javanese culture and batik craftsmanship.
-
B.
Solo
"Solo" is a Cold War-era thriller novel by Jack Higgins that follows a notorious professional assassin whose latest mission spirals into a deadly international conspiracy.
-
C.
Solo
chosen
Solo is a 2018 Star Wars anthology film that explores the early adventures and origins of the iconic smuggler Han Solo.
-
D.
The Lonely
"The Lonely" is a 1959 episode of the anthology series The Twilight Zone about a convicted man exiled to a remote asteroid who develops a profound emotional bond with a female robot companion.
-
E.
Lonely
"Lonely" is a 2005 R&B/hip-hop ballad by Akon, known for its distinctive high-pitched sample and themes of heartbreak and regret.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b04c03481908d901788ce2c4128 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef818f31c8190a26950dcd9d6a895 |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69bef8fb7df08190b3256bbdaf6869df |
completed | March 21, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef97aa65481908fdce31cf5a7a0c1 |
completed | March 21, 2026, 8:03 p.m. |
Created at: March 20, 2026, 1:49 p.m.