Triple
T4176794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skaro |
E86495
|
entity |
| Predicate | hasContinent |
P233
|
FINISHED |
| Object |
Antalin
Antalin is a fictional continent on the planet Skaro, homeworld of the Daleks in the Doctor Who universe.
|
E418770
|
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: Antalin | Statement: [Skaro, hasContinent, Antalin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antalin Context triple: [Skaro, hasContinent, Antalin]
-
A.
Alamada
Alamada is a rural municipality in the province of North Cotabato in the Philippines, known for its agricultural landscape and natural attractions such as waterfalls and highland views.
-
B.
Wasalu
Wasalu is the given first name of American rapper, songwriter, and record producer Lupe Fiasco.
-
C.
Antz
Antz is a 1998 computer-animated comedy film about an anxious worker ant who challenges his colony’s rigid social order, notable as one of DreamWorks Animation’s earliest feature films.
-
D.
Aluta
Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
-
E.
Serliana
Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
- 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: Antalin Triple: [Skaro, hasContinent, Antalin]
Generated description
Antalin is a fictional continent on the planet Skaro, homeworld of the Daleks in the Doctor Who universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antalin Target entity description: Antalin is a fictional continent on the planet Skaro, homeworld of the Daleks in the Doctor Who universe.
-
A.
Alamada
Alamada is a rural municipality in the province of North Cotabato in the Philippines, known for its agricultural landscape and natural attractions such as waterfalls and highland views.
-
B.
Wasalu
Wasalu is the given first name of American rapper, songwriter, and record producer Lupe Fiasco.
-
C.
Antz
Antz is a 1998 computer-animated comedy film about an anxious worker ant who challenges his colony’s rigid social order, notable as one of DreamWorks Animation’s earliest feature films.
-
D.
Aluta
Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
-
E.
Serliana
Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02eaa0d08190a3b805c64ef76a0c |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f564c9c8190bfc321c8ec2dac14 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b58330b1d48190a3af96d3c0e7aa1b |
completed | March 14, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b583ba1fd8819092b7fe73a17dc406 |
completed | March 14, 2026, 3:50 p.m. |
Created at: March 9, 2026, 3:45 p.m.