Triple
T9372560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Life |
E225565
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Dear Friend
"Dear Friend" is a song by the American rock band Wild Life.
|
E795214
|
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: Dear Friend | Statement: [Wild Life, hasTrack, Dear Friend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear Friend Context triple: [Wild Life, hasTrack, Dear Friend]
-
A.
Dear My Friends
Dear My Friends is a South Korean television drama series that poignantly portrays the lives, friendships, and struggles of a group of elderly friends.
-
B.
Dear Love
"Dear Love" is a musical number from the Broadway show "Flora the Red Menace," which marked Liza Minnelli’s Tony-winning debut.
-
C.
Dear John
Dear John is an American sitcom that aired from 1988 to 1992, starring Judd Hirsch as a recently divorced man navigating single life and friendships in a New York City support group.
-
D.
Dear John
Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
-
E.
Our Friend
Our Friend is a 2019 drama film based on a true story, following a couple facing terminal illness and the selfless friend who moves in to support them and their family.
- 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: Dear Friend Triple: [Wild Life, hasTrack, Dear Friend]
Generated description
"Dear Friend" is a song by the American rock band Wild Life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dear Friend Target entity description: "Dear Friend" is a song by the American rock band Wild Life.
-
A.
Dear My Friends
Dear My Friends is a South Korean television drama series that poignantly portrays the lives, friendships, and struggles of a group of elderly friends.
-
B.
Dear Love
"Dear Love" is a musical number from the Broadway show "Flora the Red Menace," which marked Liza Minnelli’s Tony-winning debut.
-
C.
Dear John
Dear John is an American sitcom that aired from 1988 to 1992, starring Judd Hirsch as a recently divorced man navigating single life and friendships in a New York City support group.
-
D.
Dear John
Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
-
E.
Our Friend
Our Friend is a 2019 drama film based on a true story, following a couple facing terminal illness and the selfless friend who moves in to support them and their family.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50852a388190be936df1382216bc |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f41a6ca4819092bae8640136e964 |
completed | April 4, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69d0f5127c688190b2b383cd0714a6c3 |
completed | April 4, 2026, 11:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f61dc2b88190920d754f55caa4ec |
completed | April 4, 2026, 11:29 a.m. |
Created at: March 30, 2026, 7:43 p.m.