Triple
T2216450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Hamill |
E48043
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hamill
Hamill is the surname of Mark Hamill, the American actor best known for portraying Luke Skywalker in the Star Wars film series.
|
E244895
|
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: Hamill | Statement: [Mark Hamill, familyName, Hamill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamill Context triple: [Mark Hamill, familyName, Hamill]
-
A.
Hartnett
Hartnett is a surname most prominently associated with American actor Josh Hartnett, known for his film and television roles since the late 1990s.
-
B.
Gorman
Gorman is a surname most notably associated with English actor Burn Gorman, known for his roles in film and television.
-
C.
Hamar Greenwood
Hamar Greenwood was a British politician and the last Chief Secretary for Ireland, known for his controversial role during the Irish War of Independence and the Anglo-Irish Treaty period.
-
D.
Mark Ellam
Mark Ellam is a cinematographer known for his work on the film "The Take."
-
E.
Harper
Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
- 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: Hamill Triple: [Mark Hamill, familyName, Hamill]
Generated description
Hamill is the surname of Mark Hamill, the American actor best known for portraying Luke Skywalker in the Star Wars film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamill Target entity description: Hamill is the surname of Mark Hamill, the American actor best known for portraying Luke Skywalker in the Star Wars film series.
-
A.
Hartnett
Hartnett is a surname most prominently associated with American actor Josh Hartnett, known for his film and television roles since the late 1990s.
-
B.
Gorman
Gorman is a surname most notably associated with English actor Burn Gorman, known for his roles in film and television.
-
C.
Hamar Greenwood
Hamar Greenwood was a British politician and the last Chief Secretary for Ireland, known for his controversial role during the Irish War of Independence and the Anglo-Irish Treaty period.
-
D.
Mark Ellam
Mark Ellam is a cinematographer known for his work on the film "The Take."
-
E.
Harper
Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc00f4c3881909d03301fcdfa8b67 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65594c948190a43bdab03e61c130 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae65e191f88190a08f96e8ba5f71bb |
completed | March 9, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66590480819093de9e9abf681a6a |
completed | March 9, 2026, 6:19 a.m. |
Created at: March 4, 2026, 7:46 p.m.