Triple
T9752746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayden Panettiere |
E236479
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Kirby Reed
Kirby Reed is a sharp-witted, horror-savvy teenager and fan-favorite character from the Scream film franchise.
|
E833057
|
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: Kirby Reed | Statement: [Hayden Panettiere, characterPortrayed, Kirby Reed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirby Reed Context triple: [Hayden Panettiere, characterPortrayed, Kirby Reed]
-
A.
Thomas Sadoski
Thomas Sadoski is an American actor known for his roles in television series like "The Newsroom" and films such as "John Wick" and "Wild."
-
B.
Jarin Blaschke
Jarin Blaschke is an American cinematographer best known for his stark, atmospheric black-and-white work on films like "The Lighthouse."
-
C.
Brendan Hunt
Brendan Hunt is an American actor, writer, and comedian best known for co-creating and starring in the acclaimed television series "Ted Lasso."
-
D.
Michael Kube-McDowell
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
-
E.
Marc Tarpenning
Marc Tarpenning is an American engineer and entrepreneur best known as a co-founder of electric vehicle and clean energy company Tesla, Inc.
- 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: Kirby Reed Triple: [Hayden Panettiere, characterPortrayed, Kirby Reed]
Generated description
Kirby Reed is a sharp-witted, horror-savvy teenager and fan-favorite character from the Scream film franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kirby Reed Target entity description: Kirby Reed is a sharp-witted, horror-savvy teenager and fan-favorite character from the Scream film franchise.
-
A.
Thomas Sadoski
Thomas Sadoski is an American actor known for his roles in television series like "The Newsroom" and films such as "John Wick" and "Wild."
-
B.
Jarin Blaschke
Jarin Blaschke is an American cinematographer best known for his stark, atmospheric black-and-white work on films like "The Lighthouse."
-
C.
Brendan Hunt
Brendan Hunt is an American actor, writer, and comedian best known for co-creating and starring in the acclaimed television series "Ted Lasso."
-
D.
Michael Kube-McDowell
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
-
E.
Marc Tarpenning
Marc Tarpenning is an American engineer and entrepreneur best known as a co-founder of electric vehicle and clean energy company Tesla, Inc.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fae332c8190b11f0258b5a5ae2b |
completed | April 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d25753fec48190927e8d96efd2df54 |
completed | April 5, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69d258c603488190937aa9244e90b6ec |
completed | April 5, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2592b1f9c8190a9db928b9527e27b |
completed | April 5, 2026, 12:44 p.m. |
Created at: March 30, 2026, 8:24 p.m.