Triple
T23239255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Alan Farragut |
E581389
|
entity |
| Predicate | fictionalCharacterIn |
P12208
|
FINISHED |
| Object | Helix |
—
|
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: Helix | Statement: [Dr. Alan Farragut, fictionalCharacterIn, Helix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helix Context triple: [Dr. Alan Farragut, fictionalCharacterIn, Helix]
-
A.
Helix
Helix is a multi-launch steel roller coaster at the Liseberg amusement park in Gothenburg, Sweden, known for its intense inversions and terrain-hugging layout.
-
B.
Helix
Helix is an interactive light-based art installation by Jen Lewin that invites public participation through responsive, immersive illumination.
-
C.
Helix
Helix is the NATO reporting name for a series of Soviet and Russian Kamov naval helicopters known for their distinctive coaxial rotor design and use in maritime roles.
-
D.
Helix
chosen
Helix is a science fiction horror television series centered on a team of CDC scientists investigating a deadly outbreak at a remote Arctic research facility.
-
E.
Helix
Helix was a short-lived DC Comics imprint focused on publishing mature, experimental science fiction and speculative comics in the late 1990s.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192ebaef4819083a7805537ad993f |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:10 p.m.