Triple
T14346725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temüjin |
E355742
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object |
Universal Ruler
Universal Ruler is the imperial title taken by Temüjin upon founding the Mongol Empire, under which he became known to history as Genghis Khan.
|
E1093588
|
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: Universal Ruler | Statement: [Temüjin, hasTitle, Universal Ruler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Universal Ruler Context triple: [Temüjin, hasTitle, Universal Ruler]
-
A.
Lammeter
Lammeter is the surname of Nancy Lammeter, a character in George Eliot’s novel "Silas Marner."
-
B.
Tijeras
Tijeras is a small village in central New Mexico, located in the Sandia Mountains just east of Albuquerque.
-
C.
Metera
Metera is an important archaeological site in Eritrea known for its ancient ruins and inscriptions reflecting the region’s early civilizations.
-
D.
Gage
Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
-
E.
Sandrew Metronome
Sandrew Metronome is a Scandinavian film distribution and production company known for releasing notable Nordic and international films.
- 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: Universal Ruler Triple: [Temüjin, hasTitle, Universal Ruler]
Generated description
Universal Ruler is the imperial title taken by Temüjin upon founding the Mongol Empire, under which he became known to history as Genghis Khan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Universal Ruler Target entity description: Universal Ruler is the imperial title taken by Temüjin upon founding the Mongol Empire, under which he became known to history as Genghis Khan.
-
A.
Lammeter
Lammeter is the surname of Nancy Lammeter, a character in George Eliot’s novel "Silas Marner."
-
B.
Tijeras
Tijeras is a small village in central New Mexico, located in the Sandia Mountains just east of Albuquerque.
-
C.
Metera
Metera is an important archaeological site in Eritrea known for its ancient ruins and inscriptions reflecting the region’s early civilizations.
-
D.
Gage
Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
-
E.
Sandrew Metronome
Sandrew Metronome is a Scandinavian film distribution and production company known for releasing notable Nordic and international films.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8b81bc8190ace2a575faf55cc0 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469f63b881909c164b1aaadcc15d |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47bbc5e081908aa8b0e76661234f |
completed | May 8, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4840f0688190975d8c3c7eefb132 |
completed | May 8, 2026, 2:19 a.m. |
Created at: April 10, 2026, 1:14 a.m.