Triple
T9657052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Body and Soul |
E233484
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object |
Edward Heyman
Edward Heyman was an American lyricist best known for writing enduring popular standards during the Great American Songbook era.
|
E830407
|
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: Edward Heyman | Statement: [Body and Soul, lyricist, Edward Heyman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Heyman Context triple: [Body and Soul, lyricist, Edward Heyman]
-
A.
Edward Garfield
Edward Garfield was the son of U.S. President James A. Garfield and First Lady Lucretia Rudolph Garfield, who died in infancy.
-
B.
Walter Marks
Walter Marks is a notable individual recognized for his contributions in his professional field, which have made his name significant enough to be distinctly recorded.
-
C.
Kenneth Hyman
Kenneth Hyman is a film producer best known for his work on the classic World War II action film "The Dirty Dozen."
-
D.
Arthur Seid
Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
-
E.
Charles Guggenheim
Charles Guggenheim was an American documentary filmmaker renowned for his politically engaged and historically focused films, earning multiple Academy Awards over his career.
- 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: Edward Heyman Triple: [Body and Soul, lyricist, Edward Heyman]
Generated description
Edward Heyman was an American lyricist best known for writing enduring popular standards during the Great American Songbook era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edward Heyman Target entity description: Edward Heyman was an American lyricist best known for writing enduring popular standards during the Great American Songbook era.
-
A.
Edward Garfield
Edward Garfield was the son of U.S. President James A. Garfield and First Lady Lucretia Rudolph Garfield, who died in infancy.
-
B.
Walter Marks
Walter Marks is a notable individual recognized for his contributions in his professional field, which have made his name significant enough to be distinctly recorded.
-
C.
Kenneth Hyman
Kenneth Hyman is a film producer best known for his work on the classic World War II action film "The Dirty Dozen."
-
D.
Arthur Seid
Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
-
E.
Charles Guggenheim
Charles Guggenheim was an American documentary filmmaker renowned for his politically engaged and historically focused films, earning multiple Academy Awards over his career.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bdd5c0c8190a6c82a1609454d1b |
completed | April 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2284e9d0c8190ab09ad1fd0a123e3 |
completed | April 5, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_69d22990ef5881908b6a6100d7dcf6e6 |
completed | April 5, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22a0cb0808190a6119dc0268c50b9 |
completed | April 5, 2026, 9:23 a.m. |
Created at: March 30, 2026, 8:14 p.m.