Triple
T8484334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago |
E200794
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Old Days
"Old Days" is a nostalgic rock song by the American band Chicago, reflecting on childhood memories and released in the mid-1970s.
|
E735668
|
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: Old Days | Statement: [Chicago, notableWork, Old Days]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Days Context triple: [Chicago, notableWork, Old Days]
-
A.
The Good Old Days
"The Good Old Days" is a song featured on Clint Black's country music album "Put Yourself in My Shoes."
-
B.
Old Times
Old Times is a 1971 play by Harold Pinter that explores memory, identity, and the ambiguity of past relationships through a tense three-character drama.
-
C.
Long Ago
"Long Ago" is a track from the album "Daydream," likely contributing to its overall dreamy, reflective pop sound.
-
D.
Long Ago
"Long Ago" is a musical number from the stage adaptation of the British musical "Half a Sixpence," contributing to its nostalgic and romantic atmosphere.
-
E.
Days of Old
"Days of Old" is a blues track featured on the collaborative album "Riding with the King" by B.B. King and Eric Clapton.
- 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: Old Days Triple: [Chicago, notableWork, Old Days]
Generated description
"Old Days" is a nostalgic rock song by the American band Chicago, reflecting on childhood memories and released in the mid-1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old Days Target entity description: "Old Days" is a nostalgic rock song by the American band Chicago, reflecting on childhood memories and released in the mid-1970s.
-
A.
The Good Old Days
"The Good Old Days" is a song featured on Clint Black's country music album "Put Yourself in My Shoes."
-
B.
Old Times
Old Times is a 1971 play by Harold Pinter that explores memory, identity, and the ambiguity of past relationships through a tense three-character drama.
-
C.
Long Ago
"Long Ago" is a track from the album "Daydream," likely contributing to its overall dreamy, reflective pop sound.
-
D.
Long Ago
"Long Ago" is a musical number from the stage adaptation of the British musical "Half a Sixpence," contributing to its nostalgic and romantic atmosphere.
-
E.
Days of Old
"Days of Old" is a blues track featured on the collaborative album "Riding with the King" by B.B. King and Eric Clapton.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe539b70c81909f8f045312f0d5f8 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a3d7cb481908b366f76639bb955 |
completed | April 2, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ce3b1f6f7c8190927b5e2684ae207b |
completed | April 2, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3b9d38e081909be10cb209b15427 |
completed | April 2, 2026, 9:49 a.m. |
Created at: March 30, 2026, 6:12 p.m.