Triple
T20136514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Giving Tree |
E491038
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
the Boy
The Boy is the central human character in Shel Silverstein’s classic children’s book "The Giving Tree," whose evolving relationship with the tree illustrates themes of selfless love, growing up, and the passage of time.
|
E1413818
|
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: the Boy | Statement: [The Giving Tree, mainCharacter, the Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Boy Context triple: [The Giving Tree, mainCharacter, the Boy]
-
A.
BOY
BOY is the IATA airport code for Bobo-Dioulasso Airport, serving the city of Bobo-Dioulasso in Burkina Faso.
-
B.
Young Boy
"Young Boy" is a song featured on Paul McCartney’s 1997 album "Flaming Pie."
-
C.
Young Boy
"Young Boy" is a track by the hip-hop duo Clipse from their debut album "Lord Willin'."
-
D.
One Boy
"One Boy" is a romantic ballad from the 1960 Broadway musical *Bye Bye Birdie*, expressing a young woman's idealized feelings for a single special boy.
-
E.
This Boy
"This Boy" is a 1963 Beatles ballad featuring close three-part harmonies, best known as the B-side to "I Want to Hold Your Hand."
- 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: the Boy Triple: [The Giving Tree, mainCharacter, the Boy]
Generated description
The Boy is the central human character in Shel Silverstein’s classic children’s book "The Giving Tree," whose evolving relationship with the tree illustrates themes of selfless love, growing up, and the passage of time.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: the Boy Target entity description: The Boy is the central human character in Shel Silverstein’s classic children’s book "The Giving Tree," whose evolving relationship with the tree illustrates themes of selfless love, growing up, and the passage of time.
-
A.
BOY
BOY is the IATA airport code for Bobo-Dioulasso Airport, serving the city of Bobo-Dioulasso in Burkina Faso.
-
B.
Young Boy
"Young Boy" is a song featured on Paul McCartney’s 1997 album "Flaming Pie."
-
C.
Young Boy
"Young Boy" is a track by the hip-hop duo Clipse from their debut album "Lord Willin'."
-
D.
One Boy
"One Boy" is a romantic ballad from the 1960 Broadway musical *Bye Bye Birdie*, expressing a young woman's idealized feelings for a single special boy.
-
E.
This Boy
"This Boy" is a 1963 Beatles ballad featuring close three-part harmonies, best known as the B-side to "I Want to Hold Your Hand."
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66767ba3881909c2bcb74a986bd29 |
completed | April 20, 2026, 5:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082de255b08190b50a3cb5e4da4973 |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082ef2cf208190aea9cd29b15b35dd |
completed | May 16, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0830ccfdd881909cbf1c3fd2342821 |
completed | May 16, 2026, 8:54 a.m. |
Created at: April 11, 2026, 11:32 p.m.