Triple
T23538731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Directions |
E577678
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Mike 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: Mike Chang | Statement: [New Directions, member, Mike Chang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Chang Context triple: [New Directions, member, Mike Chang]
-
A.
Mike Chang
chosen
Mike Chang is a fictional high school student and talented dancer from the television series "Glee."
-
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.
Alan Chang
Alan Chang is an American pianist, songwriter, and longtime musical director best known for his extensive collaborations with Michael Bublé.
-
D.
Steve Chang
Steve Chang is a Taiwanese entrepreneur best known for co-founding and leading the cybersecurity company Trend Micro.
-
E.
Winston Chang
Winston Chang is a Taiwanese-American lawyer and academic, known as a son of former Republic of China President Chiang Ching-kuo and for his work in legal education in the United States.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae19473881909aa65f9d36744502 |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.