Triple
T9289918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Zhang |
E223489
|
entity |
| Predicate | startTimePosition |
P66434
|
FINISHED |
| Object | became CEO of Alibaba Group in 2015 |
—
|
LITERAL 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: became CEO of Alibaba Group in 2015 | Statement: [Daniel Zhang, startTimePosition, became CEO of Alibaba Group in 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimePosition Context triple: [Daniel Zhang, startTimePosition, became CEO of Alibaba Group in 2015]
-
A.
positionStartTime
chosen
Indicates the time at which a position, role, or placement begins.
-
B.
playingPosition
Indicates the specific role or position an individual occupies while participating in a game or sport.
-
C.
startTimeNote
Indicates the specific time-related note or annotation associated with when an event or action begins.
-
D.
startPoint
Indicates the initial location or position from which an object, path, or action begins.
-
E.
startTimeAsCardinal
Indicates the specific clock time at which an event or action begins, expressed as a cardinal (numeric) value rather than a textual or formatted time.
- F. None of above.
Provenance (3 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08643a848190a8b5be1ccc0b2ef6 |
completed | April 1, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69cc7a5aeb748190afb89c6bbd2a6d6f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:35 p.m.