Triple
T20651934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellie Miller |
E507515
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Tom Miller
Tom Miller is the son of Ellie Miller, a central character in the British crime drama series "Broadchurch."
|
E1443045
|
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: Tom Miller | Statement: [Ellie Miller, hasChild, Tom Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Miller Context triple: [Ellie Miller, hasChild, Tom Miller]
-
A.
Ron Miller
Ron Miller was an American film and television producer and former president and CEO of The Walt Disney Company, known for overseeing numerous Disney projects in the 1970s and 1980s.
-
B.
Ron Miller
Ron Miller was an American songwriter best known for penning classic Motown hits, including the standard "For Once in My Life."
-
C.
Ron Miller
Ron Miller is an American artist and illustrator renowned for his work in science fiction and astronomical art.
-
D.
Joe Miller
Joe Miller is a lawyer in the film "Philadelphia" who overcomes his own prejudices to defend an AIDS-stricken attorney in a landmark discrimination case.
-
E.
Dan Miller
Dan Miller is a common personal name shared by multiple individuals across fields such as politics, sports, music, and broadcasting.
- 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: Tom Miller Triple: [Ellie Miller, hasChild, Tom Miller]
Generated description
Tom Miller is the son of Ellie Miller, a central character in the British crime drama series "Broadchurch."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Miller Target entity description: Tom Miller is the son of Ellie Miller, a central character in the British crime drama series "Broadchurch."
-
A.
Ron Miller
Ron Miller was an American film and television producer and former president and CEO of The Walt Disney Company, known for overseeing numerous Disney projects in the 1970s and 1980s.
-
B.
Ron Miller
Ron Miller is an American artist and illustrator renowned for his work in science fiction and astronomical art.
-
C.
Ron Miller
Ron Miller was an American songwriter best known for penning classic Motown hits, including the standard "For Once in My Life."
-
D.
Joe Miller
Joe Miller is a lawyer in the film "Philadelphia" who overcomes his own prejudices to defend an AIDS-stricken attorney in a landmark discrimination case.
-
E.
Dan Miller
Dan Miller is a common personal name shared by multiple individuals across fields such as politics, sports, music, and broadcasting.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af22d6bc8190b9d6877aba5704eb |
completed | April 20, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c595b26081908cef5883fa97210a |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c6b3abf881909c9cb0e6ec85b84f |
completed | May 16, 2026, 7:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c778429081909235b628ba07d574 |
completed | May 16, 2026, 7:37 p.m. |
Created at: April 16, 2026, 11:43 a.m.