Triple
T7354227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Please Don’t Eat the Daisies |
E169581
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
John Harding
John Harding is an actor known for appearing in the classic comedy film "Please Don’t Eat the Daisies."
|
E658419
|
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: John Harding | Statement: [Please Don’t Eat the Daisies, castMember, John Harding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Harding Context triple: [Please Don’t Eat the Daisies, castMember, John Harding]
-
A.
Josh Hutcherson
Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film series.
-
B.
Garrett Hedlund
Garrett Hedlund is an American actor and singer known for roles in films such as "Tron: Legacy," "Friday Night Lights," and "Country Strong."
-
C.
Wes Bentley
Wes Bentley is an American actor known for his breakout role in "American Beauty" and appearances in films like "The Hunger Games" and "Interstellar."
-
D.
Nicholas Woodeson
Nicholas Woodeson is a British character actor known for his work in film, television, and theatre, including roles in productions such as "Skyfall," "Rome," and "The Death of Stalin."
-
E.
Ethan Embry
Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television series.
- 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: John Harding Triple: [Please Don’t Eat the Daisies, castMember, John Harding]
Generated description
John Harding is an actor known for appearing in the classic comedy film "Please Don’t Eat the Daisies."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Harding Target entity description: John Harding is an actor known for appearing in the classic comedy film "Please Don’t Eat the Daisies."
-
A.
Josh Hutcherson
Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film series.
-
B.
Garrett Hedlund
Garrett Hedlund is an American actor and singer known for roles in films such as "Tron: Legacy," "Friday Night Lights," and "Country Strong."
-
C.
Wes Bentley
Wes Bentley is an American actor known for his breakout role in "American Beauty" and appearances in films like "The Hunger Games" and "Interstellar."
-
D.
Nicholas Woodeson
Nicholas Woodeson is a British character actor known for his work in film, television, and theatre, including roles in productions such as "Skyfall," "Rome," and "The Death of Stalin."
-
E.
Ethan Embry
Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television series.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10e71fc81909307ca39a61142d3 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7faa25960819084ecb6dbf9369ba5 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fc2c90488190bd3aa5bf72606723 |
completed | March 28, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fcb2605c819080697768d00c77d7 |
completed | March 28, 2026, 4:07 p.m. |
Created at: March 27, 2026, 3:05 p.m.