Triple
T18993437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Stand Alone |
E464746
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Careless Darling
"Careless Darling" is a song featured on the album *I Stand Alone*.
|
E1353729
|
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: Careless Darling | Statement: [I Stand Alone, hasTrack, Careless Darling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Careless Darling Context triple: [I Stand Alone, hasTrack, Careless Darling]
-
A.
Kill Me, Darling
"Kill Me, Darling" is a hardboiled crime novel in the Mike Hammer detective series created by Mickey Spillane.
-
B.
Darling of the Day
Darling of the Day is a lesser-known 1968 Broadway musical comedy with music by Jule Styne, noted for its charming score and brief original run.
-
C.
Darling
Darling is a surname most prominently associated with Ron Darling, a former Major League Baseball pitcher and current television baseball analyst.
-
D.
Darling
Darling is the kind, affectionate human owner of Lady in Disney's animated film "Lady and the Tramp."
-
E.
Darling
Darling is a 1965 British drama film directed by John Schlesinger, known for its incisive portrayal of a young woman's rise in London's high society and for winning multiple Academy Awards.
- 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: Careless Darling Triple: [I Stand Alone, hasTrack, Careless Darling]
Generated description
"Careless Darling" is a song featured on the album *I Stand Alone*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Careless Darling Target entity description: "Careless Darling" is a song featured on the album *I Stand Alone*.
-
A.
Kill Me, Darling
"Kill Me, Darling" is a hardboiled crime novel in the Mike Hammer detective series created by Mickey Spillane.
-
B.
Darling of the Day
Darling of the Day is a lesser-known 1968 Broadway musical comedy with music by Jule Styne, noted for its charming score and brief original run.
-
C.
Darling
Darling is a surname most prominently associated with Ron Darling, a former Major League Baseball pitcher and current television baseball analyst.
-
D.
Darling
Darling is the kind, affectionate human owner of Lady in Disney's animated film "Lady and the Tramp."
-
E.
Darling
Darling is a 1965 British drama film directed by John Schlesinger, known for its incisive portrayal of a young woman's rise in London's high society and for winning multiple Academy Awards.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d67fc90081908f51668620fdc60a |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b455a9f081908df46b984b10e2fc |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b5dfac0c8190b67921280d5ab1fe |
completed | May 14, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b68aba3081908ca21d732e45f454 |
completed | May 14, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:01 p.m.