Triple
T15608752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zach Helm |
E375230
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Good Canary
Good Canary is a stage play written by American playwright and screenwriter Zach Helm.
|
E1166907
|
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: Good Canary | Statement: [Zach Helm, notableWork, Good Canary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Canary Context triple: [Zach Helm, notableWork, Good Canary]
-
A.
Of Course
"Of Course" is a short story by Shirley Jackson, included in her collection *The Lottery and Other Stories*, that showcases her characteristic blend of domestic realism and unsettling psychological tension.
-
B.
Good for It
"Good for It" is a track featured on the mixtape "NAV" by Canadian rapper and producer Nav.
-
C.
Get Nervous
Get Nervous is a 1982 rock album by American singer Pat Benatar, known for its polished production and hit singles that helped cement her status as a leading female rock artist of the era.
-
D.
State of Song
The State of Song was an ancient Chinese state during the Zhou dynasty period, historically notable as the homeland of the philosopher Zhuangzi.
-
E.
Got Some
"Got Some" is a high-energy rock song by Pearl Jam, featured on their 2009 album *Backspacer* and known for its driving riffs and politically tinged lyrics.
- 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: Good Canary Triple: [Zach Helm, notableWork, Good Canary]
Generated description
Good Canary is a stage play written by American playwright and screenwriter Zach Helm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Good Canary Target entity description: Good Canary is a stage play written by American playwright and screenwriter Zach Helm.
-
A.
Of Course
"Of Course" is a short story by Shirley Jackson, included in her collection *The Lottery and Other Stories*, that showcases her characteristic blend of domestic realism and unsettling psychological tension.
-
B.
Good for It
"Good for It" is a track featured on the mixtape "NAV" by Canadian rapper and producer Nav.
-
C.
Get Nervous
Get Nervous is a 1982 rock album by American singer Pat Benatar, known for its polished production and hit singles that helped cement her status as a leading female rock artist of the era.
-
D.
State of Song
The State of Song was an ancient Chinese state during the Zhou dynasty period, historically notable as the homeland of the philosopher Zhuangzi.
-
E.
Got Some
"Got Some" is a high-energy rock song by Pearl Jam, featured on their 2009 album *Backspacer* and known for its driving riffs and politically tinged lyrics.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8024948190a6c711f2e5c2aac4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d51c28819097b8c2c0e2307401 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff57c304188190afa695ae88cf0234 |
completed | May 9, 2026, 3:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5920436c81909addad5bb4566ae9 |
completed | May 9, 2026, 3:56 p.m. |
Created at: April 10, 2026, 4:13 a.m.