Triple
T14942481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safe Haven |
E372564
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Gage Lansky
Gage Lansky is a screenwriter best known for his work on the film "Safe Haven."
|
E1128018
|
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: Gage Lansky | Statement: [Safe Haven, screenwriter, Gage Lansky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gage Lansky Context triple: [Safe Haven, screenwriter, Gage Lansky]
-
A.
Gage Goldberg
Gage Goldberg is the son of professional wrestling legend and former WCW and WWE champion Bill Goldberg.
-
B.
Jeremy Lasky
Jeremy Lasky is an American cinematographer best known for his work at Pixar Animation Studios on films such as Cars and other major animated features.
-
C.
Nathan Grossman
Nathan Grossman is a Swedish documentary filmmaker best known for directing the climate activist portrait film "I Am Greta."
-
D.
Nathan Resnick
Nathan Resnick is an American entrepreneur best known as the founder and CEO of Sourcify, a platform that helps companies streamline and manage their product manufacturing overseas.
-
E.
Gabriel Weinstein
Gabriel Weinstein is an actor best known for playing the character Trash.
- 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: Gage Lansky Triple: [Safe Haven, screenwriter, Gage Lansky]
Generated description
Gage Lansky is a screenwriter best known for his work on the film "Safe Haven."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gage Lansky Target entity description: Gage Lansky is a screenwriter best known for his work on the film "Safe Haven."
-
A.
Gage Goldberg
Gage Goldberg is the son of professional wrestling legend and former WCW and WWE champion Bill Goldberg.
-
B.
Jeremy Lasky
Jeremy Lasky is an American cinematographer best known for his work at Pixar Animation Studios on films such as Cars and other major animated features.
-
C.
Nathan Grossman
Nathan Grossman is a Swedish documentary filmmaker best known for directing the climate activist portrait film "I Am Greta."
-
D.
Nathan Resnick
Nathan Resnick is an American entrepreneur best known as the founder and CEO of Sourcify, a platform that helps companies streamline and manage their product manufacturing overseas.
-
E.
Gabriel Weinstein
Gabriel Weinstein is an actor best known for playing the character Trash.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e929f3881908560b8428e72327d |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe80c984288190a10abebc8c07e00d |
completed | May 9, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe818794908190a2fa686adb0575d5 |
completed | May 9, 2026, 12:36 a.m. |
Created at: April 10, 2026, 2:38 a.m.