Triple
T11036596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alien 3 |
E260901
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object |
Fiorina 161
Fiorina 161 is a bleak, remote prison planet in the Alien film franchise, known as the primary setting of Alien 3.
|
E900677
|
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: Fiorina 161 | Statement: [Alien 3, setIn, Fiorina 161]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiorina 161 Context triple: [Alien 3, setIn, Fiorina 161]
-
A.
F-12
F-12 is the station code assigned to Higashi-Shinjuku Station on Tokyo’s subway network.
-
B.
Gemini Ultra
Gemini Ultra is Google’s most powerful large multimodal AI model in the Gemini family, designed for complex reasoning and advanced language and code tasks.
-
C.
Orneta
Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
-
D.
F-11
F-11 is the station code assigned to Nishi-Waseda Station on Tokyo Metro’s Fukutoshin Line in Tokyo, Japan.
-
E.
Swift F.4
The Swift F.4 was a later, improved fighter variant of the British Supermarine Swift jet, featuring enhanced performance and handling over earlier models.
- 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: Fiorina 161 Triple: [Alien 3, setIn, Fiorina 161]
Generated description
Fiorina 161 is a bleak, remote prison planet in the Alien film franchise, known as the primary setting of Alien 3.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fiorina 161 Target entity description: Fiorina 161 is a bleak, remote prison planet in the Alien film franchise, known as the primary setting of Alien 3.
-
A.
F-12
F-12 is the station code assigned to Higashi-Shinjuku Station on Tokyo’s subway network.
-
B.
Gemini Ultra
Gemini Ultra is Google’s most powerful large multimodal AI model in the Gemini family, designed for complex reasoning and advanced language and code tasks.
-
C.
Orneta
Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
-
D.
F-11
F-11 is the station code assigned to Nishi-Waseda Station on Tokyo Metro’s Fukutoshin Line in Tokyo, Japan.
-
E.
Swift F.4
The Swift F.4 was a later, improved fighter variant of the British Supermarine Swift jet, featuring enhanced performance and handling over earlier models.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e9e3fc8190802195ac9fcb8e28 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9c669608190af97c461beaf9f31 |
completed | April 18, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_69e3ad00b5c08190a7bf3ecbeae76d88 |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b1fff754819092d634f46fb42387 |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:25 p.m.