Triple
T14287703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Time Warrior |
E354217
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Irongron
Irongron is a brutish, ambitious medieval warlord who serves as the main human antagonist in the Doctor Who serial "The Time Warrior."
|
E1091864
|
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: Irongron | Statement: [The Time Warrior, featuresCharacter, Irongron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irongron Context triple: [The Time Warrior, featuresCharacter, Irongron]
-
A.
Maden
Maden is a 1978 Turkish social realist film directed by Yavuz Özkan, known for its portrayal of coal miners’ struggles and featuring a leading performance by Tarık Akan.
-
B.
Maden
Maden is a town and district in eastern Turkey known historically for its mining activities and mountainous terrain.
-
C.
Ore
Ore is a suburb and railway station area in Hastings, East Sussex, England, serving as a local residential and transport hub.
-
D.
Ellnora
Ellnora is a feminine given name most notably borne by American philanthropist Ellnora Decker Krannert, a major benefactor of arts and education.
-
E.
الحديدة
الحديدة هي مدينة ساحلية يمنية كبرى تقع على البحر الأحمر وتعد من أهم موانئ اليمن ومراكزه التجارية.
- 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: Irongron Triple: [The Time Warrior, featuresCharacter, Irongron]
Generated description
Irongron is a brutish, ambitious medieval warlord who serves as the main human antagonist in the Doctor Who serial "The Time Warrior."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Irongron Target entity description: Irongron is a brutish, ambitious medieval warlord who serves as the main human antagonist in the Doctor Who serial "The Time Warrior."
-
A.
Maden
Maden is a 1978 Turkish social realist film directed by Yavuz Özkan, known for its portrayal of coal miners’ struggles and featuring a leading performance by Tarık Akan.
-
B.
Maden
Maden is a town and district in eastern Turkey known historically for its mining activities and mountainous terrain.
-
C.
Ore
Ore is a suburb and railway station area in Hastings, East Sussex, England, serving as a local residential and transport hub.
-
D.
Ellnora
Ellnora is a feminine given name most notably borne by American philanthropist Ellnora Decker Krannert, a major benefactor of arts and education.
-
E.
الحديدة
الحديدة هي مدينة ساحلية يمنية كبرى تقع على البحر الأحمر وتعد من أهم موانئ اليمن ومراكزه التجارية.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1e14d4819091c381f96c43c58b |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3e6dde6081908a37817e4dd22ecd |
completed | May 8, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3f42ccdc81908399d8f9a2f0da31 |
completed | May 8, 2026, 1:41 a.m. |
Created at: April 10, 2026, 1:11 a.m.