Triple
T18943822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Choice |
E463454
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Michael Barrett
Michael Barrett is a creator known for developing the work titled "The Choice."
|
E1403873
|
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: Michael Barrett | Statement: [The Choice, creator, Michael Barrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Barrett Context triple: [The Choice, creator, Michael Barrett]
-
A.
Michael Barrett
Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
-
B.
Matthew Barrett
Matthew Barrett is an Irish cardiologist best known as the long-term partner of former Taoiseach and current Tánaiste Leo Varadkar.
-
C.
Ron Barrett
Ron Barrett is an American illustrator best known for his whimsical artwork in the classic children's book "Cloudy with a Chance of Meatballs."
-
D.
Craig Barrett
Craig Barrett is an American business executive and engineer best known for serving as CEO and chairman of Intel Corporation.
-
E.
Michael O’Rourke
Michael O’Rourke is best known as the father of the late child actress Heather O’Rourke, who starred in the "Poltergeist" film series.
- 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: Michael Barrett Triple: [The Choice, creator, Michael Barrett]
Generated description
Michael Barrett is a creator known for developing the work titled "The Choice."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Barrett Target entity description: Michael Barrett is a creator known for developing the work titled "The Choice."
-
A.
Michael Barrett
Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
-
B.
Matthew Barrett
Matthew Barrett is an Irish cardiologist best known as the long-term partner of former Taoiseach and current Tánaiste Leo Varadkar.
-
C.
Ron Barrett
Ron Barrett is an American illustrator best known for his whimsical artwork in the classic children's book "Cloudy with a Chance of Meatballs."
-
D.
Craig Barrett
Craig Barrett is an American business executive and engineer best known for serving as CEO and chairman of Intel Corporation.
-
E.
Michael O’Rourke
Michael O’Rourke is best known as the father of the late child actress Heather O’Rourke, who starred in the "Poltergeist" film series.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3ed847c8190a911a61673608a5c |
completed | April 20, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fdaed2c88190b96f7de279fffa39 |
completed | May 16, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_6a07fe33c1a8819099a52d47d0b0d59b |
completed | May 16, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ff598550819093b6303a88dfefd2 |
completed | May 16, 2026, 5:23 a.m. |
Created at: April 10, 2026, 11:59 a.m.