Triple
T11339299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | InGen |
E268552
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object | Henry Wu |
E792723
|
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: Henry Wu | Statement: [InGen, keyPerson, Henry Wu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Wu Context triple: [InGen, keyPerson, Henry Wu]
-
A.
Henry Wu
chosen
Henry Wu is a geneticist in the Jurassic Park and Jurassic World franchise known for engineering hybrid dinosaurs and advancing controversial genetic experiments.
-
B.
Eugene Wong
Eugene Wong is a computer scientist best known for his pioneering contributions to relational database theory and the development of early relational database systems.
-
C.
Dr. Wellington Yueh
Dr. Wellington Yueh is a conflicted Suk doctor in Frank Herbert's Dune whose tragic betrayal of House Atreides is driven by his love for his captive wife and his desire for revenge against Baron Harkonnen.
-
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.
Edward Wang
Edward Wang is an entrepreneur best known as a founder of the virtualization and cloud computing company VMware.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea01c6c08190910a6ce8fb7e186d |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5433d3e848190ad4f51c23d5a8bb2 |
completed | April 19, 2026, 9:03 p.m. |
Created at: April 8, 2026, 9:33 p.m.