Triple
T11378147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indoraptor |
E269522
|
entity |
| Predicate | creatorOrganization |
P10483
|
FINISHED |
| Object | InGen |
E268552
|
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: InGen | Statement: [Indoraptor, creatorOrganization, InGen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: InGen Context triple: [Indoraptor, creatorOrganization, InGen]
-
A.
InGen
chosen
InGen is the fictional bioengineering corporation in the Jurassic Park franchise responsible for cloning dinosaurs and creating the dinosaur theme parks.
-
B.
Genera
Genera is an advanced object-oriented Lisp-based operating environment created by Symbolics for its line of Lisp machines.
-
C.
Geneta
Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
-
D.
Genii
The Genii are a militaristic and duplicitous human civilization in the Stargate Atlantis universe, posing as simple farmers while secretly developing advanced technology and plotting against both the Wraith and Atlantis.
-
E.
Geno
Geno is the widely used nickname of Hall of Fame University of Connecticut women's basketball coach Geno Auriemma.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc30f5d48190bb273df4c9e583a9 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58bff6574819089bd63266b97a734 |
completed | April 20, 2026, 2:14 a.m. |
Created at: April 8, 2026, 9:33 p.m.