Triple

T29204959
Position Surface form Disambiguated ID Type / Status
Subject Eric Tsang E740385 entity
Predicate nativeName P15 FINISHED
Object 曾志偉
曾志偉是一位香港著名男演員、主持人及電影監製，以多變的喜劇形象和在影視圈的長期活躍而聞名。
 E1856467 NE FINISHED

How this triple was built (2 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: 曾志偉 | Statement: [Eric Tsang, nativeName, 曾志偉]
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: 曾志偉
Triple: [Eric Tsang, nativeName, 曾志偉]
Generated description
曾志偉是一位香港著名男演員、主持人及電影監製，以多變的喜劇形象和在影視圈的長期活躍而聞名。

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_69f07cb974108190b7e86ca489a6ebb6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f663c8800c819096adc9588d261b96 completed May 2, 2026, 8:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2569c0bd408190b1d765adf9248210 completed June 7, 2026, 12:53 p.m.
NEDg Description generation batch_6a256de41c4481909176bfe24f1e4fe8 completed June 7, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_6a25724ed7588190862ceef339305f35 completed June 7, 2026, 1:29 p.m.
Created at: April 28, 2026, 12:08 p.m.