Triple
T3429425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenovo |
E72301
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Legend
Legend was the original brand name of the Chinese technology company now known globally as Lenovo.
|
E356433
|
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: Legend | Statement: [Lenovo, originalName, Legend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legend Context triple: [Lenovo, originalName, Legend]
-
A.
Legend
Legend is the eighth studio album by American singer John Legend, showcasing his blend of R&B, soul, and pop influences.
-
B.
Legend
Legend is a 1985 dark fantasy film directed by Ridley Scott, known for its lush visual style, fairy-tale atmosphere, and Tim Curry’s iconic portrayal of the Lord of Darkness.
-
C.
Chronicles
Chronicles is a biblical historical book that recounts and interprets the history of Israel and Judah, focusing on their kings, temple worship, and covenant relationship with God.
-
D.
Tales
Tales is a collection of short stories by Amiri Baraka that reflects his politically charged, experimental, and African American–centered literary style.
-
E.
Chronica
Chronica is an ancient chronological work by Apollodorus of Athens that systematically records Greek history and mythology in verse form.
- 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: Legend Triple: [Lenovo, originalName, Legend]
Generated description
Legend was the original brand name of the Chinese technology company now known globally as Lenovo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Legend Target entity description: Legend was the original brand name of the Chinese technology company now known globally as Lenovo.
-
A.
Legend
Legend is the eighth studio album by American singer John Legend, showcasing his blend of R&B, soul, and pop influences.
-
B.
Legend
Legend is a 1985 dark fantasy film directed by Ridley Scott, known for its lush visual style, fairy-tale atmosphere, and Tim Curry’s iconic portrayal of the Lord of Darkness.
-
C.
Chronicles
Chronicles is a biblical historical book that recounts and interprets the history of Israel and Judah, focusing on their kings, temple worship, and covenant relationship with God.
-
D.
Tales
Tales is a collection of short stories by Amiri Baraka that reflects his politically charged, experimental, and African American–centered literary style.
-
E.
Chronica
Chronica is an ancient chronological work by Apollodorus of Athens that systematically records Greek history and mythology in verse form.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9854ca081909e637adcac46a27c |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35478448481908e1c0f717d99f992 |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b35546dfa0819081800009fbe8afe3 |
completed | March 13, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b355cecc4c81908ecb5f83e89b4a00 |
completed | March 13, 2026, 12:09 a.m. |
Created at: March 8, 2026, 3:15 p.m.