Triple
T11243091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Hand to Mouth |
E266123
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Mark Jones
Mark Jones is an actor known for his role in the film "From Hand to Mouth."
|
E913521
|
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: Mark Jones | Statement: [From Hand to Mouth, hasCastMember, Mark Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Jones Context triple: [From Hand to Mouth, hasCastMember, Mark Jones]
-
A.
Mark Jones
Mark Jones was an English footballer for Manchester United and England who died in the 1958 Munich air disaster.
-
B.
Matt Jones
Matt Jones is an American actor and comedian best known for his roles in television series like "Breaking Bad" and for his extensive voice work in animated shows and video games.
-
C.
Matt Jones
Matt Jones is a British musician best known as a former member of the rock band Beady Eye, formed by ex-Oasis members.
-
D.
Ken Jones
Ken Jones was a prominent African American LGBTQ activist and community organizer known for his work in San Francisco’s gay rights and HIV/AIDS movements.
-
E.
Peter Jones
Peter Jones is a British entrepreneur, investor, and television personality best known as a long-standing "dragon" on the BBC series Dragons' Den.
- 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: Mark Jones Triple: [From Hand to Mouth, hasCastMember, Mark Jones]
Generated description
Mark Jones is an actor known for his role in the film "From Hand to Mouth."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Jones Target entity description: Mark Jones is an actor known for his role in the film "From Hand to Mouth."
-
A.
Mark Jones
Mark Jones was an English footballer for Manchester United and England who died in the 1958 Munich air disaster.
-
B.
Matt Jones
Matt Jones is an American actor and comedian best known for his roles in television series like "Breaking Bad" and for his extensive voice work in animated shows and video games.
-
C.
Matt Jones
Matt Jones is a British musician best known as a former member of the rock band Beady Eye, formed by ex-Oasis members.
-
D.
Ken Jones
Ken Jones was a prominent African American LGBTQ activist and community organizer known for his work in San Francisco’s gay rights and HIV/AIDS movements.
-
E.
Peter Jones
Peter Jones is a British entrepreneur, investor, and television personality best known as a long-standing "dragon" on the BBC series Dragons' Den.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91b0b808190bc38008bb344d180 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad849f70819098a7056fbc4831ff |
completed | April 19, 2026, 10:25 a.m. |
| NEDg | Description generation | batch_69e4b12eee348190bee6c84587e4955d |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4be2bb8c88190a21773b0c43b6b99 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 8, 2026, 9:30 p.m.