Triple
T10214598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renflexis |
E242409
|
entity |
| Predicate | hasTarget |
P14889
|
FINISHED |
| Object | TNF-alpha |
E850005
|
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: TNF-alpha | Statement: [Renflexis, hasTarget, TNF-alpha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TNF-alpha Context triple: [Renflexis, hasTarget, TNF-alpha]
-
A.
tumor necrosis factor alpha
chosen
Tumor necrosis factor alpha is a pro-inflammatory cytokine involved in immune regulation and inflammation, playing a key role in autoimmune and inflammatory diseases.
-
B.
TNF
TNF is a weekly National Football League (NFL) primetime broadcast package featuring games played on Thursday nights during the regular season.
-
C.
IL-17A
IL-17A is a pro-inflammatory cytokine produced mainly by Th17 cells that plays a key role in the pathogenesis of several autoimmune and inflammatory diseases.
-
D.
IL-64
IL-64 is a major east–west state highway in Illinois that runs from the Mississippi River through the Chicago metropolitan area.
-
E.
IL18
IL18 is the ICAO aircraft type designator for the Soviet-era Ilyushin Il-18 long-range turboprop airliner.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa273bdc8190bc4cf67a7923cebc |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f6f4d0cc8190ae41277b15b3012d |
completed | April 9, 2026, 12:46 a.m. |
Created at: April 6, 2026, 11:04 a.m.