Triple
T5530334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steely Dan |
E145030
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Peg
"Peg" is a jazz-influenced pop/rock song by Steely Dan, known for its intricate production, sophisticated harmonies, and enduring popularity since its release on the 1977 album *Aja*.
|
E528961
|
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: Peg | Statement: [Steely Dan, notableSong, Peg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peg Context triple: [Steely Dan, notableSong, Peg]
-
A.
Peg
Peg is a common diminutive or nickname for the female given name Margaret.
-
B.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
-
C.
Peggy
Peggy is a common diminutive or nickname for the given name Margaret.
-
D.
Penny Wheep
Penny Wheep is a poetry collection by Scottish modernist writer Hugh MacDiarmid that reflects his innovative use of Scots language and exploration of national and social themes.
-
E.
Pinky
Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
- 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: Peg Triple: [Steely Dan, notableSong, Peg]
Generated description
"Peg" is a jazz-influenced pop/rock song by Steely Dan, known for its intricate production, sophisticated harmonies, and enduring popularity since its release on the 1977 album *Aja*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peg Target entity description: "Peg" is a jazz-influenced pop/rock song by Steely Dan, known for its intricate production, sophisticated harmonies, and enduring popularity since its release on the 1977 album *Aja*.
-
A.
Peg
Peg is a common diminutive or nickname for the female given name Margaret.
-
B.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
-
C.
Peggy
Peggy is a common diminutive or nickname for the given name Margaret.
-
D.
Penny Wheep
Penny Wheep is a poetry collection by Scottish modernist writer Hugh MacDiarmid that reflects his innovative use of Scots language and exploration of national and social themes.
-
E.
Pinky
Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f9b59bc8190a8758b3be54831e9 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02805a174819096cd16f2c1ef2eb1 |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c033ddc7148190ba64ebfc2472c367 |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c036725fc481908ab0e260892d8243 |
completed | March 22, 2026, 6:35 p.m. |
Created at: March 22, 2026, 3:34 p.m.