Triple
T11037022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heroes |
E260911
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Matt Parkman
Matt Parkman is a fictional police officer with telepathic abilities in the television series "Heroes."
|
E907122
|
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: Matt Parkman | Statement: [Heroes, hasMainCharacter, Matt Parkman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Parkman Context triple: [Heroes, hasMainCharacter, Matt Parkman]
-
A.
Chauncey Goss
Chauncey Goss is an American public official and policy analyst known for his work in fiscal policy and water management in Florida.
-
B.
Louis Tully
Louis Tully is a nerdy, well-meaning accountant and neighbor of Dana Barrett who becomes a comedic, possessed pawn of Gozer in the Ghostbusters films.
-
C.
Charles Grigsby
Charles Grigsby is an American singer best known for reaching the finals on the second season of the television talent competition American Idol.
-
D.
Henry McHenry
Henry McHenry is an American paleoanthropologist and professor known for his research on human evolution, particularly the biomechanics and locomotion of early hominins.
-
E.
Franklin Keeler
Franklin Keeler was the founder of the Times Union newspaper.
- 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: Matt Parkman Triple: [Heroes, hasMainCharacter, Matt Parkman]
Generated description
Matt Parkman is a fictional police officer with telepathic abilities in the television series "Heroes."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Parkman Target entity description: Matt Parkman is a fictional police officer with telepathic abilities in the television series "Heroes."
-
A.
Chauncey Goss
Chauncey Goss is an American public official and policy analyst known for his work in fiscal policy and water management in Florida.
-
B.
Louis Tully
Louis Tully is a nerdy, well-meaning accountant and neighbor of Dana Barrett who becomes a comedic, possessed pawn of Gozer in the Ghostbusters films.
-
C.
Charles Grigsby
Charles Grigsby is an American singer best known for reaching the finals on the second season of the television talent competition American Idol.
-
D.
Henry McHenry
Henry McHenry is an American paleoanthropologist and professor known for his research on human evolution, particularly the biomechanics and locomotion of early hominins.
-
E.
Franklin Keeler
Franklin Keeler was the founder of the Times Union newspaper.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e9e3fc8190802195ac9fcb8e28 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4419a91b08190a55c7f874a3df0fe |
completed | April 19, 2026, 2:44 a.m. |
| NEDg | Description generation | batch_69e44c0606408190819b9d3fd58f818f |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4510dc55081908f89aab15726b2a8 |
completed | April 19, 2026, 3:50 a.m. |
Created at: April 8, 2026, 9:25 p.m.