Triple
T15367522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solo: A Star Wars Story (film score) |
E367455
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Meet Han
"Meet Han" is a musical cue from the Solo: A Star Wars Story film score that underscores the introduction and early characterization of Han Solo.
|
E1153101
|
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: Meet Han | Statement: [Solo: A Star Wars Story (film score), hasPart, Meet Han]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meet Han Context triple: [Solo: A Star Wars Story (film score), hasPart, Meet Han]
-
A.
Hasa Diga Eebowai
"Hasa Diga Eebowai" is a satirical, profanity-laced ensemble song from the Broadway musical *The Book of Mormon* that expresses villagers’ frustration with God through dark humor.
-
B.
Meeting Neil
"Meeting Neil" is a track from Ludwig Göransson's score for Christopher Nolan's science-fiction thriller film *Tenet*.
-
C.
Hanacaraka
Hanacaraka is the traditional Javanese writing system used historically on the island of Java for literary, religious, and everyday texts.
-
D.
Ecco
Ecco is a time-traveling bottlenose dolphin and the protagonist of the classic Sega action-adventure video game series "Ecco the Dolphin."
-
E.
Ecco
Ecco is a literary imprint known for publishing high-quality fiction, nonfiction, and poetry under the HarperCollins umbrella.
- 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: Meet Han Triple: [Solo: A Star Wars Story (film score), hasPart, Meet Han]
Generated description
"Meet Han" is a musical cue from the Solo: A Star Wars Story film score that underscores the introduction and early characterization of Han Solo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meet Han Target entity description: "Meet Han" is a musical cue from the Solo: A Star Wars Story film score that underscores the introduction and early characterization of Han Solo.
-
A.
Hasa Diga Eebowai
"Hasa Diga Eebowai" is a satirical, profanity-laced ensemble song from the Broadway musical *The Book of Mormon* that expresses villagers’ frustration with God through dark humor.
-
B.
Meeting Neil
"Meeting Neil" is a track from Ludwig Göransson's score for Christopher Nolan's science-fiction thriller film *Tenet*.
-
C.
Hanacaraka
Hanacaraka is the traditional Javanese writing system used historically on the island of Java for literary, religious, and everyday texts.
-
D.
Ecco
Ecco is a time-traveling bottlenose dolphin and the protagonist of the classic Sega action-adventure video game series "Ecco the Dolphin."
-
E.
Ecco
Ecco is a literary imprint known for publishing high-quality fiction, nonfiction, and poetry under the HarperCollins umbrella.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b4e968c8190a16824ee3ede13b2 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0dc93af88190ae34fa3983aac820 |
completed | May 9, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0e467a148190871cb8a2dc660e06 |
completed | May 9, 2026, 10:36 a.m. |
Created at: April 10, 2026, 3:18 a.m.