Triple
T15202086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passion |
E363292
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
"I Read"
"I Read" is a song by the artist Passion, known for its emotive lyrics and melodic contemporary Christian worship style.
|
E1143375
|
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: "I Read" | Statement: [Passion, notableSong, "I Read"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "I Read" Context triple: [Passion, notableSong, "I Read"]
-
A.
Read My Mind
"Read My Mind" is a pop song by American singer Rebecca Black, known for showcasing her more mature, evolved sound beyond her viral debut.
-
B.
Read My Mind
"Read My Mind" is a popular alternative rock song by American band The Killers, known for its anthemic sound and introspective lyrics.
-
C.
Read Your Mind
"Read Your Mind" is a song featured on the album *We Need To Talk*, likely contributing an introspective or emotionally focused track to the record.
-
D.
I Could Write a Book
"I Could Write a Book" is a popular show tune from the 1940 Rodgers and Hart musical "Pal Joey," which has since become a jazz and pop standard.
-
E.
No One Can Hear You Read
"No One Can Hear You Read" is a biography of jazz pianist and composer Erroll Garner that explores his life, music, and legacy.
- 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: "I Read" Triple: [Passion, notableSong, "I Read"]
Generated description
"I Read" is a song by the artist Passion, known for its emotive lyrics and melodic contemporary Christian worship style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "I Read" Target entity description: "I Read" is a song by the artist Passion, known for its emotive lyrics and melodic contemporary Christian worship style.
-
A.
Read My Mind
"Read My Mind" is a pop song by American singer Rebecca Black, known for showcasing her more mature, evolved sound beyond her viral debut.
-
B.
Read My Mind
"Read My Mind" is a popular alternative rock song by American band The Killers, known for its anthemic sound and introspective lyrics.
-
C.
Read Your Mind
"Read Your Mind" is a song featured on the album *We Need To Talk*, likely contributing an introspective or emotionally focused track to the record.
-
D.
I Could Write a Book
"I Could Write a Book" is a popular show tune from the 1940 Rodgers and Hart musical "Pal Joey," which has since become a jazz and pop standard.
-
E.
No One Can Hear You Read
"No One Can Hear You Read" is a biography of jazz pianist and composer Erroll Garner that explores his life, music, and legacy.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b588b88190a88e91d521acbdfe |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3390b708190b10c876c437c72c8 |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed44b2e3c8190aad111e2bc2b56a2 |
completed | May 9, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed547192c8190b89755fff48ca620 |
completed | May 9, 2026, 6:33 a.m. |
Created at: April 10, 2026, 3:10 a.m.