Triple
T1749468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spectral |
E38405
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
|
E204342
|
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: Matthew C. Brown | Statement: [Spectral, producer, Matthew C. Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew C. Brown Context triple: [Spectral, producer, Matthew C. Brown]
-
A.
Andrew G. Myers
Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
-
B.
Eric Evans
Eric Evans is a software engineer and thought leader best known for originating and popularizing the concept of Domain-Driven Design in enterprise software development.
-
C.
Andrew McCollum
Andrew McCollum is an American entrepreneur and software engineer best known as one of the original co-founders of Facebook.
-
D.
Michael Hillegas
Michael Hillegas was an American merchant and statesman who served as the first Treasurer of the United States during the Revolutionary era.
-
E.
David M. Brown
David M. Brown was a U.S. Navy captain and NASA astronaut who served as a mission specialist on the ill-fated Space Shuttle Columbia STS-107 mission.
- 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: Matthew C. Brown Triple: [Spectral, producer, Matthew C. Brown]
Generated description
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew C. Brown Target entity description: Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
-
A.
Andrew G. Myers
Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
-
B.
Eric Evans
Eric Evans is a software engineer and thought leader best known for originating and popularizing the concept of Domain-Driven Design in enterprise software development.
-
C.
Andrew McCollum
Andrew McCollum is an American entrepreneur and software engineer best known as one of the original co-founders of Facebook.
-
D.
Michael Hillegas
Michael Hillegas was an American merchant and statesman who served as the first Treasurer of the United States during the Revolutionary era.
-
E.
David M. Brown
David M. Brown was a U.S. Navy captain and NASA astronaut who served as a mission specialist on the ill-fated Space Shuttle Columbia STS-107 mission.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63ee4d2081909dfd6d3244228c56 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf4ba8fc81909b538168a4403330 |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adc2b4d8a0819080ff41cf73417276 |
completed | March 8, 2026, 6:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc38732d8819092e0ac76354f08c1 |
completed | March 8, 2026, 6:44 p.m. |
Created at: March 4, 2026, 7:31 p.m.