Triple

T24892216
Position Surface form Disambiguated ID Type / Status
Subject Old Sock E623033 entity
Predicate coverSongOnAlbum P59042 FINISHED
Object All of Me
"All of Me" is a classic jazz standard, written by Gerald Marks and Seymour Simons in 1931, that has been widely recorded and performed by countless artists.
 E1131313 NE FINISHED

How this triple was built (2 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: All of Me | Statement: [Old Sock, coverSongOnAlbum, All of Me]
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: All of Me
Triple: [Old Sock, coverSongOnAlbum, All of Me]
Generated description
"All of Me" is a classic jazz standard, written by Gerald Marks and Seymour Simons in 1931, that has been widely recorded and performed by countless artists.

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_69e2fac597708190a922bf39a49ec70a completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4234503148190a413642e8d81c5e3 completed May 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103320f3208190b517213b417366ed completed May 22, 2026, 10:42 a.m.
NEDg Description generation batch_6a1033ece8248190bc0ee7fa4976848d completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a103487a09c81908960296ff597228f completed May 22, 2026, 10:48 a.m.
Created at: April 18, 2026, 5:26 a.m.