Triple
T7288146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 100 |
E163925
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Matt Miller |
E600917
|
NE FINISHED |
How this triple was built (2 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: Matt Miller | Statement: [The 100, executiveProducer, Matt Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Miller Context triple: [The 100, executiveProducer, Matt Miller]
-
A.
Andrew Miller
Andrew Miller is an American former Major League Baseball relief pitcher known for his dominant left-handed pitching and key postseason performances for multiple teams, including the Cleveland Indians and New York Yankees.
-
B.
Matthew Miller
chosen
Matthew Miller is an American television writer and producer best known for developing and executive producing the TV adaptation of the "Lethal Weapon" film franchise.
-
C.
Dan Miller
Dan Miller is an American singer best known as a member of the early 2000s boy band O-Town formed on the reality TV show "Making the Band."
-
D.
Nick Miller
Nick Miller is a gruff yet endearing, underachieving bartender and aspiring writer who serves as one of the central roommates and comedic leads in the sitcom "New Girl."
-
E.
Jim Miller
Jim Miller is a film editor known for his work on major Hollywood productions, including the science-fiction comedy "Men in Black."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6a73fc8190ae5ce81fd3e46d87 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eedfa4d08190997a692b81309309 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 2:59 p.m.