Triple
T7436247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quest for Fire |
E171622
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Ika
Ika is a central prehistoric human character in the 1981 film "Quest for Fire," which follows early humans on a journey to obtain and protect the vital resource of fire.
|
E663437
|
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: Ika | Statement: [Quest for Fire, mainCharacter, Ika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ika Context triple: [Quest for Fire, mainCharacter, Ika]
-
A.
Ika
Ika is a Sanskrit-derived word meaning “one” or “unity,” used in the Indonesian national motto “Bhinneka Tunggal Ika” to express the idea of oneness amid diversity.
-
B.
Lamut
Lamut is an indigenous Siberian people of northeastern Russia, more commonly known as the Even.
-
C.
Scupi
Scupi was an ancient city that served as a major political and administrative center in the region of Dardania, in the central Balkans.
-
D.
Homarus
Homarus is a genus of large clawed marine lobsters that includes commercially important species such as the American and European lobsters.
-
E.
Octopus
Octopus is a famous luxury megayacht, formerly owned by Microsoft co-founder Paul Allen, known for its massive size, advanced exploration equipment, and use in scientific and philanthropic expeditions.
- 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: Ika Triple: [Quest for Fire, mainCharacter, Ika]
Generated description
Ika is a central prehistoric human character in the 1981 film "Quest for Fire," which follows early humans on a journey to obtain and protect the vital resource of fire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ika Target entity description: Ika is a central prehistoric human character in the 1981 film "Quest for Fire," which follows early humans on a journey to obtain and protect the vital resource of fire.
-
A.
Ika
Ika is a Sanskrit-derived word meaning “one” or “unity,” used in the Indonesian national motto “Bhinneka Tunggal Ika” to express the idea of oneness amid diversity.
-
B.
Lamut
Lamut is an indigenous Siberian people of northeastern Russia, more commonly known as the Even.
-
C.
Scupi
Scupi was an ancient city that served as a major political and administrative center in the region of Dardania, in the central Balkans.
-
D.
Homarus
Homarus is a genus of large clawed marine lobsters that includes commercially important species such as the American and European lobsters.
-
E.
Octopus
Octopus is a 1995 synth-pop album by British band The Human League, known for revitalizing their career with the hit single "Tell Me When."
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f228014819088220b2cefc3ee41 |
completed | March 28, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_69c81febb48c8190893a78608027a4c7 |
completed | March 28, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82112c894819096101fb506af7432 |
completed | March 28, 2026, 6:42 p.m. |
Created at: March 27, 2026, 3:13 p.m.