Triple
T15495101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bones |
E378796
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Hart Hanson
Hart Hanson is a Canadian television writer and producer best known for developing and showrunning the long-running crime procedural series "Bones."
|
E1174015
|
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: Hart Hanson | Statement: [Bones, creator, Hart Hanson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hart Hanson Context triple: [Bones, creator, Hart Hanson]
-
A.
Hank Hanson
Hank Hanson is a troubled, debt-ridden younger brother whose desperate choices help drive the tragic crime plot in the film "Before the Devil Knows You're Dead."
-
B.
Mark Hanson
Mark Hanson is an Australian figure best known as the former husband of controversial right-wing politician Pauline Hanson.
-
C.
Joe Hanson
Joe Hanson is a science communicator and biologist best known for creating and hosting the educational YouTube series "It's Okay to Be Smart."
-
D.
Lyndon Hanson
Lyndon Hanson is an American entrepreneur best known as a co-founder of the footwear company Crocs.
-
E.
Bob Hanson
Bob Hanson is the gruff, world-weary owner of a remote desert diner who becomes an unlikely defender of humanity in the supernatural action-horror film "Legion" (2010).
- 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: Hart Hanson Triple: [Bones, creator, Hart Hanson]
Generated description
Hart Hanson is a Canadian television writer and producer best known for developing and showrunning the long-running crime procedural series "Bones."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hart Hanson Target entity description: Hart Hanson is a Canadian television writer and producer best known for developing and showrunning the long-running crime procedural series "Bones."
-
A.
Hank Hanson
Hank Hanson is a troubled, debt-ridden younger brother whose desperate choices help drive the tragic crime plot in the film "Before the Devil Knows You're Dead."
-
B.
Mark Hanson
Mark Hanson is an Australian figure best known as the former husband of controversial right-wing politician Pauline Hanson.
-
C.
Joe Hanson
Joe Hanson is a science communicator and biologist best known for creating and hosting the educational YouTube series "It's Okay to Be Smart."
-
D.
Lyndon Hanson
Lyndon Hanson is an American entrepreneur best known as a co-founder of the footwear company Crocs.
-
E.
Bob Hanson
Bob Hanson is the gruff, world-weary owner of a remote desert diner who becomes an unlikely defender of humanity in the supernatural action-horror film "Legion" (2010).
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faecd60819091eeaa56c9c8f67d |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82e376f08190b5ae9793a0381204 |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff83a48be88190b0d32c3657a596ea |
completed | May 9, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff846436e48190b711da134c9a3b81 |
completed | May 9, 2026, 7 p.m. |
Created at: April 10, 2026, 3:51 a.m.