Triple
T15578597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan (2015 film) |
E374433
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Levi Miller
Levi Miller is an Australian actor best known for playing the young Peter Pan in the fantasy adventure film "Pan" (2015).
|
E1165838
|
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: Levi Miller | Statement: [Pan (2015 film), stars, Levi Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levi Miller Context triple: [Pan (2015 film), stars, Levi Miller]
-
A.
Valentine Miller
Valentine Miller is a child of the influential American writer Henry Miller, known for his groundbreaking and controversial novels of the 20th century.
-
B.
Finn Jones
Finn Jones is a British actor best known for playing Loras Tyrell in "Game of Thrones" and the title role of Danny Rand in Marvel's "Iron Fist."
-
C.
Antony Starr
Antony Starr is a New Zealand actor best known for his intense television roles, particularly as the sociopathic superhero Homelander in the series "The Boys."
-
D.
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.
-
E.
Zachary Lazenby
Zachary Lazenby is the son of Australian actor and former James Bond star George Lazenby.
- 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: Levi Miller Triple: [Pan (2015 film), stars, Levi Miller]
Generated description
Levi Miller is an Australian actor best known for playing the young Peter Pan in the fantasy adventure film "Pan" (2015).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Levi Miller Target entity description: Levi Miller is an Australian actor best known for playing the young Peter Pan in the fantasy adventure film "Pan" (2015).
-
A.
Valentine Miller
Valentine Miller is a child of the influential American writer Henry Miller, known for his groundbreaking and controversial novels of the 20th century.
-
B.
Finn Jones
Finn Jones is a British actor best known for playing Loras Tyrell in "Game of Thrones" and the title role of Danny Rand in Marvel's "Iron Fist."
-
C.
Antony Starr
Antony Starr is a New Zealand actor best known for his intense television roles, particularly as the sociopathic superhero Homelander in the series "The Boys."
-
D.
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.
-
E.
Zachary Lazenby
Zachary Lazenby is the son of Australian actor and former James Bond star George Lazenby.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e24064c8190b132c3092877fbfa |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4b3a8881909d41204a0b243461 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff50ad13b88190adb51231ea967889 |
completed | May 9, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff512549088190880a57fcf66914a8 |
completed | May 9, 2026, 3:22 p.m. |
Created at: April 10, 2026, 4:11 a.m.