Triple
T5354555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daren Tang |
E102658
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Daren Tang |
E102658
|
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: Daren Tang | Statement: [Daren Tang, name, Daren Tang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daren Tang Context triple: [Daren Tang, name, Daren Tang]
-
A.
Daren Tang
chosen
Daren Tang is a Singaporean lawyer and intellectual property expert who serves as the Director General of the World Intellectual Property Organization (WIPO).
-
B.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
C.
Dennis Chan
Dennis Chan is the maternal grandfather of August Chan Zuckerberg, the daughter of Facebook co-founder Mark Zuckerberg and pediatrician Priscilla Chan.
-
D.
Kenneth Hsu
Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
-
E.
Phil Tan
Phil Tan is a Grammy-winning mixing engineer renowned for his work on numerous chart-topping pop and R&B records.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd862dbb008190aef653acddafd38b |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21df856c819099cf9047b87d6db8 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:01 p.m.