Triple
T20015971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everything |
E494718
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Alan Chang |
—
|
NE NERFINISHED |
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: Alan Chang | Statement: [Everything, writer, Alan Chang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Chang Context triple: [Everything, writer, Alan Chang]
-
A.
Alan Chang
chosen
Alan Chang is an American pianist, songwriter, and longtime musical director best known for his extensive collaborations with Michael Bublé.
-
B.
Ben Chang
Ben Chang is a chaotic and eccentric Spanish teacher-turned-student from the TV sitcom "Community," known for his unpredictable behavior and over-the-top antics.
-
C.
Carlisle Chang
Carlisle Chang was a prominent Trinidadian artist and designer best known for his influential contributions to national symbols and public art in Trinidad and Tobago.
-
D.
John Chang
John Chang, also known as Chang Myon, was a prominent South Korean statesman who served as the country’s second prime minister and a key leader in its early democratic movement.
-
E.
Steve Chang
Steve Chang is a Taiwanese entrepreneur best known for co-founding and leading the cybersecurity company Trend Micro.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623cb8188190b95913ffed895930 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.