Triple
T8840126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mystery Jets |
E210363
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Serotonin |
E761076
|
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: Serotonin | Statement: [Mystery Jets, notableSong, Serotonin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serotonin Context triple: [Mystery Jets, notableSong, Serotonin]
-
A.
Serotonin
chosen
Serotonin is a 2010 indie rock album by the British band Mystery Jets, noted for its melodic songwriting and polished production.
-
B.
norepinephrine
Norepinephrine is a neurotransmitter and hormone involved in the body’s fight-or-flight response, regulating arousal, attention, and blood pressure.
-
C.
GABA
GABA (gamma-aminobutyric acid) is the primary inhibitory neurotransmitter in the mammalian central nervous system, crucial for reducing neuronal excitability and regulating muscle tone and anxiety.
-
D.
SERT
SERT is the abbreviation for the Special Emergency Reaction Team, a specialized law enforcement unit trained to respond to high-risk and critical incidents.
-
E.
Luzein
Luzein is a Swiss municipality in the canton of Graubünden, known for its alpine landscape and traditional rural character.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6085fe24819095139f18da92d7e7 |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0721430819091abe8c13a745725 |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:48 p.m.