Triple
T20662960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We'll Meet Again |
E507804
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Ross Parker
Ross Parker was a British songwriter best known for co-writing the iconic World War II-era song "We'll Meet Again."
|
E1444442
|
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: Ross Parker | Statement: [We'll Meet Again, composer, Ross Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross Parker Context triple: [We'll Meet Again, composer, Ross Parker]
-
A.
Brad Parker
Brad Parker is a screenwriter known for collaborating with Carey Van Dyke on film and television projects.
-
B.
Michael Parker
Michael Parker is a professional basketball player best known for his standout career in Japan’s B.League, where he became one of the league’s most prolific scorers and an influential import for teams such as the Chiba Jets Funabashi.
-
C.
Michael Parker
Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
-
D.
Michael Parker
Michael Parker is a literary scholar and editor known for his work on classic novels such as Edith Wharton's "The House of Mirth."
-
E.
Stephen Parker
Stephen Parker is an artist and illustrator known for creating the cover art for Kazuo Ishiguro’s novel "Klara and the Sun."
- 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: Ross Parker Triple: [We'll Meet Again, composer, Ross Parker]
Generated description
Ross Parker was a British songwriter best known for co-writing the iconic World War II-era song "We'll Meet Again."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ross Parker Target entity description: Ross Parker was a British songwriter best known for co-writing the iconic World War II-era song "We'll Meet Again."
-
A.
Brad Parker
Brad Parker is a screenwriter known for collaborating with Carey Van Dyke on film and television projects.
-
B.
Michael Parker
Michael Parker is a professional basketball player best known for his standout career in Japan’s B.League, where he became one of the league’s most prolific scorers and an influential import for teams such as the Chiba Jets Funabashi.
-
C.
Michael Parker
Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
-
D.
Michael Parker
Michael Parker is a literary scholar and editor known for his work on classic novels such as Edith Wharton's "The House of Mirth."
-
E.
Stephen Parker
Stephen Parker is an artist and illustrator known for creating the cover art for Kazuo Ishiguro’s novel "Klara and the Sun."
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f4872481908858eb88ce89dd47 |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd5afe5081909e20b796dd9f0908 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d175206c8190b119bb1a2d06462f |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d293523c8190aaa01c6c73c9afd5 |
completed | May 16, 2026, 8:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.