Triple
T2461587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paper Towns |
E54545
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Jake Schreier
Jake Schreier is an American film and music video director known for movies such as "Paper Towns" and "Robot & Frank."
|
E329009
|
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: Jake Schreier | Statement: [Paper Towns, director, Jake Schreier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Schreier Context triple: [Paper Towns, director, Jake Schreier]
-
A.
Josh Schaeffer
Josh Schaeffer is a film editor known for his work on major studio features, including the monster crossover blockbuster "Godzilla vs. Kong."
-
B.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
C.
Evan Schiff
Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
-
D.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
-
E.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
- 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: Jake Schreier Triple: [Paper Towns, director, Jake Schreier]
Generated description
Jake Schreier is an American film and music video director known for movies such as "Paper Towns" and "Robot & Frank."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jake Schreier Target entity description: Jake Schreier is an American film and music video director known for movies such as "Paper Towns" and "Robot & Frank."
-
A.
Josh Schaeffer
Josh Schaeffer is a film editor known for his work on major studio features, including the monster crossover blockbuster "Godzilla vs. Kong."
-
B.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
C.
Evan Schiff
Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
-
D.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
-
E.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd11c47408190b10c7f6a151f2db2 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f1e61308190be9604bce0be83d2 |
completed | March 12, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_69b210ea15788190aa00dcfaabcca47a |
completed | March 12, 2026, 1:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2117703b08190acb25f3f96469a1e |
completed | March 12, 2026, 1:05 a.m. |
Created at: March 6, 2026, 9:44 p.m.