Triple
T3214583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutual Broadcasting System |
E67358
|
entity |
| Predicate | notablePerson |
P304
|
FINISHED |
| Object |
Gabriel Heatter
Gabriel Heatter was a prominent American radio news commentator best known for his optimistic broadcasts during World War II.
|
E337154
|
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: Gabriel Heatter | Statement: [Mutual Broadcasting System, notablePerson, Gabriel Heatter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Heatter Context triple: [Mutual Broadcasting System, notablePerson, Gabriel Heatter]
-
A.
Ian Fried
Ian Fried is a screenwriter best known for penning the supernatural thriller film "Spectral."
-
B.
Paul Tamasy
Paul Tamasy is an American screenwriter best known for co-writing the acclaimed boxing drama film "The Fighter," which earned him an Academy Award nomination.
-
C.
Jeffrey Hatcher
Jeffrey Hatcher is an American playwright and screenwriter known for his work in theater and film, including adaptations and period dramas.
-
D.
Mark Rosner
Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
-
E.
David Huntley
David Huntley is an entrepreneur best known as a founder of the outdoor apparel and equipment company Mountain Hardwear.
- 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: Gabriel Heatter Triple: [Mutual Broadcasting System, notablePerson, Gabriel Heatter]
Generated description
Gabriel Heatter was a prominent American radio news commentator best known for his optimistic broadcasts during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabriel Heatter Target entity description: Gabriel Heatter was a prominent American radio news commentator best known for his optimistic broadcasts during World War II.
-
A.
Ian Fried
Ian Fried is a screenwriter best known for penning the supernatural thriller film "Spectral."
-
B.
Paul Tamasy
Paul Tamasy is an American screenwriter best known for co-writing the acclaimed boxing drama film "The Fighter," which earned him an Academy Award nomination.
-
C.
Jeffrey Hatcher
Jeffrey Hatcher is an American playwright and screenwriter known for his work in theater and film, including adaptations and period dramas.
-
D.
Mark Rosner
Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
-
E.
David Huntley
David Huntley is an entrepreneur best known as a founder of the outdoor apparel and equipment company Mountain Hardwear.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabd01d48190be0dc610b9987a25 |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2623c90cc819085a94adfe3eb3f3f |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b2630060288190b0cf236863a5bb69 |
completed | March 12, 2026, 6:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b264cbe2a48190baad7f335cdc37ba |
completed | March 12, 2026, 7:01 a.m. |
Created at: March 8, 2026, 3:07 p.m.